Triple
T6316630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Joanou |
E141631
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Entropy
"Entropy" is a 1999 romantic drama film directed by Phil Joanou that blends autobiographical elements with a stylized exploration of love, chaos, and the pressures of the film industry.
|
E585025
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Entropy | Statement: [Phil Joanou, notableWork, Entropy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entropy Context triple: [Phil Joanou, notableWork, Entropy]
-
A.
Entropy
"Entropy" is a work—likely a song or track—by the artist Slow Learner, reflecting their style and thematic approach.
-
B.
Shannon entropy
Shannon entropy is a fundamental measure in information theory that quantifies the average uncertainty or information content in a random variable or message source.
-
C.
Rényi entropy
Rényi entropy is a generalized measure of information and uncertainty that extends Shannon entropy by introducing a tunable order parameter to emphasize different aspects of a probability distribution.
-
D.
Gibbs paradox
The Gibbs paradox is a concept in thermodynamics and statistical mechanics highlighting an apparent contradiction in the entropy change when mixing identical versus distinct gases, which helped clarify the role of particle indistinguishability.
-
E.
information theory
Information theory is a mathematical framework for quantifying information, communication, and data compression, foundational to modern digital communication and signal processing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Entropy Triple: [Phil Joanou, notableWork, Entropy]
Generated description
"Entropy" is a 1999 romantic drama film directed by Phil Joanou that blends autobiographical elements with a stylized exploration of love, chaos, and the pressures of the film industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Entropy Target entity description: "Entropy" is a 1999 romantic drama film directed by Phil Joanou that blends autobiographical elements with a stylized exploration of love, chaos, and the pressures of the film industry.
-
A.
Entropy
"Entropy" is a work—likely a song or track—by the artist Slow Learner, reflecting their style and thematic approach.
-
B.
Shannon entropy
Shannon entropy is a fundamental measure in information theory that quantifies the average uncertainty or information content in a random variable or message source.
-
C.
Rényi entropy
Rényi entropy is a generalized measure of information and uncertainty that extends Shannon entropy by introducing a tunable order parameter to emphasize different aspects of a probability distribution.
-
D.
Gibbs paradox
The Gibbs paradox is a concept in thermodynamics and statistical mechanics highlighting an apparent contradiction in the entropy change when mixing identical versus distinct gases, which helped clarify the role of particle indistinguishability.
-
E.
information theory
Information theory is a mathematical framework for quantifying information, communication, and data compression, foundational to modern digital communication and signal processing.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a34e6081909b91984a3e815176 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e478987c819085df63dab784af2a |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f86226888190a8af3629ae55feff |
completed | March 27, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f8dc9114819095d41e0d0d260ee9 |
completed | March 27, 2026, 3:26 a.m. |
Created at: March 22, 2026, 4:29 p.m.