Triple
T15601557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Wayne Jones Jr. |
E375044
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Larry |
E475016
|
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: Larry | Statement: [Larry Wayne Jones Jr., givenName, Larry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Context triple: [Larry Wayne Jones Jr., givenName, Larry]
-
A.
Larry
Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
-
B.
Larry
Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
-
C.
Larry
chosen
Larry is a common masculine given name, often a diminutive of Lawrence, used widely in English-speaking countries.
-
D.
Larry
Larry is the given name of Larry Holmes, the American former professional boxer and longtime world heavyweight champion.
-
E.
Larry
Larry is the given name of Larry L. King, an American playwright, journalist, and author best known for co-writing the musical "The Best Little Whorehouse in Texas."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e621fc4819097e8e85e7ddfdc6c |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56cf8e5c8190bf13114ab0a834de |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.