Triple
T20996432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fear and Desire |
E517160
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Steve Coit
Steve Coit is an actor known for appearing in Stanley Kubrick’s early feature film "Fear and Desire."
|
E1461335
|
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: Steve Coit | Statement: [Fear and Desire, castMember, Steve Coit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Coit Context triple: [Fear and Desire, castMember, Steve Coit]
-
A.
F. Brett Cox
F. Brett Cox is an American writer, critic, and academic known for his work in speculative fiction and his contributions to genre scholarship.
-
B.
Chris Coyne
Chris Coyne is an American entrepreneur and software developer best known as a co-founder of the online dating platform OkCupid.
-
C.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
D.
Ken Coomer
Ken Coomer is an American drummer and producer best known for his work with the alternative rock band Wilco and the earlier alt-country group Uncle Tupelo.
-
E.
Steve Cochran
Steve Cochran was an American film and television actor best known for his tough-guy roles in crime dramas and film noir during the 1940s and 1950s.
- 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: Steve Coit Triple: [Fear and Desire, castMember, Steve Coit]
Generated description
Steve Coit is an actor known for appearing in Stanley Kubrick’s early feature film "Fear and Desire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Coit Target entity description: Steve Coit is an actor known for appearing in Stanley Kubrick’s early feature film "Fear and Desire."
-
A.
F. Brett Cox
F. Brett Cox is an American writer, critic, and academic known for his work in speculative fiction and his contributions to genre scholarship.
-
B.
Chris Coyne
Chris Coyne is an American entrepreneur and software developer best known as a co-founder of the online dating platform OkCupid.
-
C.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
D.
Ken Coomer
Ken Coomer is an American drummer and producer best known for his work with the alternative rock band Wilco and the earlier alt-country group Uncle Tupelo.
-
E.
Steve Cochran
Steve Cochran was an American film and television actor best known for his tough-guy roles in crime dramas and film noir during the 1940s and 1950s.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc21838081909872eed21bc12a08 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a092fcfdcb881909d5d89d9b7201fbe |
completed | May 17, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_6a0931a27e788190b593f4c6d5c1d4f4 |
completed | May 17, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093544a4a48190b857d9eef0d48cbf |
completed | May 17, 2026, 3:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.