Triple
T13303591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jac Holzman |
E316875
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jac Holzman |
E316875
|
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: Jac Holzman | Statement: [Jac Holzman, name, Jac Holzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jac Holzman Context triple: [Jac Holzman, name, Jac Holzman]
-
A.
Jac Holzman
chosen
Jac Holzman is an American music industry executive best known as the founder of Elektra Records and a pioneering figure in the development of the modern record label.
-
B.
Phil Rosen
Phil Rosen was an early 20th-century American film director and cinematographer who helped shape the development of Hollywood’s visual style.
-
C.
John Heyman
John Heyman was a British film and television producer and financier known for backing and producing a range of notable international films from the 1960s onward.
-
D.
Sam Rosen
Sam Rosen was a prolific American comic book letterer best known for his extensive work at Marvel Comics during the Silver Age.
-
E.
Marty Glickman
Marty Glickman was an American sprinter and pioneering sportscaster best known for his track career and influential broadcasting work in professional basketball and football.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.