Triple
T23427530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dov Hoenig |
E563233
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | Red Heat |
E308003
|
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: Red Heat | Statement: [Dov Hoenig, edited, Red Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Heat Context triple: [Dov Hoenig, edited, Red Heat]
-
A.
Red Heat
chosen
Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
-
B.
Blue Heat
Blue Heat is the alternate title of "The Last of the Finest," a 1990 crime-action film about a group of maverick Los Angeles police officers who uncover a major drug and corruption conspiracy.
-
C.
Snake Eater
"Snake Eater" is the iconic James Bond–style vocal theme song performed by Cynthia Harrell for the video game Metal Gear Solid 3: Snake Eater.
-
D.
Hard Target
Hard Target is a 1993 American action film directed by John Woo and starring Jean-Claude Van Damme, known for its stylized violence and Woo’s Hollywood debut.
-
E.
Homicide Squad
Homicide Squad is the specialized unit of the Toronto Police Service responsible for investigating murders and suspicious deaths within the city.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a54ae8ac8190b0bae2560582c904 |
completed | April 29, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67a7b9d88190897588a9ec4fbd2a |
completed | May 19, 2026, 1:37 p.m. |
Created at: April 17, 2026, 5:48 p.m.