Triple
T18744444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holzman Moss Bottino Architecture |
E458371
|
entity |
| Predicate | hasNamePart |
P5298
|
FINISHED |
| Object | Holzman |
—
|
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: Holzman | Statement: [Holzman Moss Bottino Architecture, hasNamePart, Holzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holzman Context triple: [Holzman Moss Bottino Architecture, hasNamePart, Holzman]
-
A.
Red Holzman
Red Holzman was a Hall of Fame basketball coach best known for leading the New York Knicks to two NBA championships in the early 1970s.
-
B.
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.
-
C.
Larry Brown
Larry Brown was a prominent baseball player in the Negro leagues, best known for his contributions as a standout member of the Memphis Red Sox.
-
D.
Larry Brown
Larry Brown was an American writer known for his gritty, working-class fiction that exemplifies the dirty realism literary movement.
-
E.
Larry Brown
Larry Brown is an American basketball coach and former point guard renowned for winning championships at both the professional and collegiate levels and for leading multiple NBA franchises.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57691c8688190b225cbd88493d9d1 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.