Triple
T5342492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark City |
E123975
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Andrew Mason
Andrew Mason is a film producer best known for his work on visually distinctive and genre-defining movies such as the neo-noir science fiction film "Dark City."
|
E512514
|
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: Andrew Mason | Statement: [Dark City, producer, Andrew Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Mason Context triple: [Dark City, producer, Andrew Mason]
-
A.
Ben Mason
Ben Mason is a central teenage resistance fighter in the science fiction television series "Falling Skies," known for his complex struggle with alien influence and loyalty to his family.
-
B.
Ben Mason
Ben Mason was a member of the 2nd Massachusetts Militia Regiment, a state military unit associated with Massachusetts' citizen-soldier forces.
-
C.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
D.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
-
E.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
- 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: Andrew Mason Triple: [Dark City, producer, Andrew Mason]
Generated description
Andrew Mason is a film producer best known for his work on visually distinctive and genre-defining movies such as the neo-noir science fiction film "Dark City."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Mason Target entity description: Andrew Mason is a film producer best known for his work on visually distinctive and genre-defining movies such as the neo-noir science fiction film "Dark City."
-
A.
Ben Mason
Ben Mason is a central teenage resistance fighter in the science fiction television series "Falling Skies," known for his complex struggle with alien influence and loyalty to his family.
-
B.
Ben Mason
Ben Mason was a member of the 2nd Massachusetts Militia Regiment, a state military unit associated with Massachusetts' citizen-soldier forces.
-
C.
Charles Hudson
Charles Hudson was a 19th-century British mountaineer and Anglican clergyman known for his pioneering ascents in the Alps.
-
D.
John Dawson
John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
-
E.
John Dawson
John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf1a5440d8819094a6da0282408b7b |
completed | March 21, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1abe1ea88190b681eb18bfa361d7 |
completed | March 21, 2026, 10:25 p.m. |
Created at: March 20, 2026, 2:01 p.m.