Triple
T20960281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Lamb |
E516222
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Larry |
—
|
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: Larry | Statement: [Larry Lamb, givenName, Larry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Context triple: [Larry Lamb, givenName, Larry]
-
A.
Larry
Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
-
B.
Larry
Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
-
C.
Larry
Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
-
D.
Larry
chosen
Larry is the given name of Larry Poons, an American abstract painter associated with the Color Field movement and Op Art.
-
E.
Larry
Larry Gagosian is a prominent American art dealer and owner of the international Gagosian Gallery network.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6f134081908b1ed48ce708f3d5 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:30 p.m.