Triple
T5692464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhunter (film) |
E125456
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dov Hoenig |
E563233
|
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: Dov Hoenig | Statement: [Manhunter (film), editedBy, Dov Hoenig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dov Hoenig Context triple: [Manhunter (film), editedBy, Dov Hoenig]
-
A.
Dov Hoenig
chosen
Dov Hoenig is a film editor known for his work on major Hollywood movies, including the neo-noir science fiction film "Dark City."
-
B.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
C.
Yehuda Hoffman
Yehuda Hoffman is an astrophysicist known for his work in cosmology and large-scale structure, including helping identify and characterize the Laniakea Supercluster.
-
D.
Avron Fogelman
Avron Fogelman is an American businessman and philanthropist best known as a former co-owner of the Kansas City Royals Major League Baseball team.
-
E.
Nahum Gelber
Nahum Gelber was a Canadian lawyer, philanthropist, and community leader known for his significant contributions to legal education and Jewish cultural and charitable institutions.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e678c48190824d35d276985311 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51892bb648190987b9626ef7ea4d9 |
completed | March 26, 2026, 11:29 a.m. |
Created at: March 22, 2026, 3:44 p.m.