Triple
T22971456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ossie Ardiles |
E571196
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ossie |
—
|
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: Ossie | Statement: [Ossie Ardiles, givenName, Ossie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ossie Context triple: [Ossie Ardiles, givenName, Ossie]
-
A.
Ossie
chosen
Ossie is a diminutive given name or nickname commonly derived from the name Oswald.
-
B.
Ozzie
Ozzie is the nickname of Ozzie Nelson, the American bandleader, actor, and television producer best known for creating and starring in the classic sitcom "The Adventures of Ozzie and Harriet."
-
C.
Ozzie
Ozzie is a given name or nickname, often used as a variant spelling of Ossie and commonly associated with English-speaking male individuals.
-
D.
Ozzie
Ozzie is one of the three exuberant sailors in the musical "On the Town," known for his comic energy and romantic escapades during a whirlwind day in New York City.
-
E.
Ozzie
Ozzie is the Hall of Fame Major League Baseball shortstop renowned for his spectacular defensive play, primarily with the St. Louis Cardinals.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823370fc819084a13d6e4eb6e44e |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.