Triple
T9801997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Atkins |
E237859
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Fred Dekker |
E710710
|
NE FINISHED |
How this triple was built (2 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: Fred Dekker | Statement: [Tom Atkins, workedWith, Fred Dekker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Dekker Context triple: [Tom Atkins, workedWith, Fred Dekker]
-
A.
Fred Dekker
chosen
Fred Dekker is an American filmmaker and screenwriter best known for cult horror and sci-fi films such as "Night of the Creeps," "The Monster Squad," and his collaborations with Shane Black.
-
B.
David Friedkin
David Friedkin was an American screenwriter, director, and producer known for his work in mid-20th-century film and television.
-
C.
John Carpenter
John Carpenter is an American filmmaker and composer best known for directing influential horror and science fiction films such as "Halloween," "The Thing," and "Escape from New York."
-
D.
John McTiernan
John McTiernan is an American film director best known for influential action movies such as "Die Hard" and "Predator."
-
E.
Brad Anderson
Brad Anderson is an American film and television director known for psychological thrillers and genre films such as "The Machinist" and "Session 9."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62b41048190bcef70a7591830c6 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc53c3dc819084a4d8b72164a172 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:29 p.m.