Triple
T13351420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Chasman |
E318076
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Chaos
Chaos is an action-comedy film produced by Steven Chasman, known for its high-energy sequences and crime-driven plot.
|
E1034744
|
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: Chaos | Statement: [Steven Chasman, notableWork, Chaos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaos Context triple: [Steven Chasman, notableWork, Chaos]
-
A.
Chaos
"Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
-
B.
Chaos
Chaos is the nickname of Colby Covington, an American mixed martial artist known for his outspoken persona and success in the UFC welterweight division.
-
C.
Chaos
Chaos is a powerful, water-based creature and major antagonist from the Sonic the Hedgehog series, known for transforming through the power of the Chaos Emeralds.
-
D.
Chaos
Chaos is a renowned photography book by Josef Koudelka that presents a powerful, wide-ranging collection of his panoramic black-and-white images capturing fragmented landscapes and human-altered environments.
-
E.
Chaos
"Chaos" is a crime thriller novel in Patricia Cornwell’s Kay Scarpetta series, featuring the forensic pathologist investigating a mysterious and technologically complex death.
- 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: Chaos Triple: [Steven Chasman, notableWork, Chaos]
Generated description
Chaos is an action-comedy film produced by Steven Chasman, known for its high-energy sequences and crime-driven plot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaos Target entity description: Chaos is an action-comedy film produced by Steven Chasman, known for its high-energy sequences and crime-driven plot.
-
A.
Chaos
"Chaos" is a French film featuring Rachida Brakni in a critically acclaimed role that significantly raised her profile as an actress.
-
B.
Chaos
"Chaos" is a crime thriller novel in Patricia Cornwell’s Kay Scarpetta series, featuring the forensic pathologist investigating a mysterious and technologically complex death.
-
C.
Chaos
Chaos is a powerful, water-based creature and major antagonist from the Sonic the Hedgehog series, known for transforming through the power of the Chaos Emeralds.
-
D.
Chaos
Chaos is the nickname of Colby Covington, an American mixed martial artist known for his outspoken persona and success in the UFC welterweight division.
-
E.
Chaos
Chaos is a renowned photography book by Josef Koudelka that presents a powerful, wide-ranging collection of his panoramic black-and-white images capturing fragmented landscapes and human-altered environments.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8c2f1c819094f0970f35f18afa |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f47fd7c8190b8d98a181acd7710 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f7204b6f108190bca6a0140620e03e |
completed | May 3, 2026, 10:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720fbf0bc81908c68cf2844938e45 |
completed | May 3, 2026, 10:18 a.m. |
Created at: April 9, 2026, 9:31 p.m.