Triple
T6382072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Mohr |
E143606
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hal Mohr |
E143606
|
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: Hal Mohr | Statement: [Hal Mohr, name, Hal Mohr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Mohr Context triple: [Hal Mohr, name, Hal Mohr]
-
A.
Hal Mohr
chosen
Hal Mohr was an American cinematographer renowned for his innovative camera work in early Hollywood, notably becoming the only write-in Academy Award winner for his cinematography.
-
B.
Dick Van Patten
Dick Van Patten was an American actor best known for his role as the father on the television series "Eight Is Enough" and for numerous character roles in film and TV comedies.
-
C.
Kevin Kiner
Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
-
D.
Martin Gabel
Martin Gabel was an American actor and director known for his character roles in film, theater, and television, as well as his frequent appearances on quiz and panel shows.
-
E.
George Bergman
George Bergman was an American mathematician known for his work in algebra and category theory and for his influential contributions to mathematical education and expository writing.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685385948190938b67bff671072b |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64badc3c481908199bf32069cc1c7 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:34 p.m.