Triple
T20419310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mort Herbert |
E500804
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mort Herbert |
—
|
NE NERFINISHED |
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: Mort Herbert | Statement: [Mort Herbert, name, Mort Herbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mort Herbert Context triple: [Mort Herbert, name, Mort Herbert]
-
A.
Mort Herbert
chosen
Mort Herbert was an American jazz bassist best known for his work with Louis Armstrong’s All Stars in the 1950s.
-
B.
John Alton
John Alton was a renowned American cinematographer celebrated for his innovative, high-contrast lighting and influential work in film noir and classic Hollywood cinema.
-
C.
Harvey Whittemore
Harvey Whittemore is a Nevada lobbyist and land developer best known for spearheading the controversial Coyote Springs master-planned community project.
-
D.
Clarence Kolster
Clarence Kolster was an American film editor best known for his work on classic Hollywood films in the early 20th century.
-
E.
John Gilling
John Gilling was a British film director and screenwriter best known for his work on mid-20th-century horror and thriller films, particularly for Hammer Film Productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.