Triple
T19204598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike D’Antoni |
E480198
|
entity |
| Predicate | hasCoachedTeam |
P10045
|
FINISHED |
| Object | Los Angeles Lakers |
—
|
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: Los Angeles Lakers | Statement: [Mike D’Antoni, hasCoachedTeam, Los Angeles Lakers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles Lakers Context triple: [Mike D’Antoni, hasCoachedTeam, Los Angeles Lakers]
-
A.
Los Angeles Lakers
chosen
The Los Angeles Lakers are a storied NBA franchise based in Los Angeles, renowned for their many championships and legendary players such as Magic Johnson, Kobe Bryant, and LeBron James.
-
B.
Lakers
The Lakers are the athletic teams representing Mercyhurst University in collegiate sports competitions.
-
C.
Lakers
The Lakers are the athletic teams representing the State University of New York at Oswego in intercollegiate sports.
-
D.
Lakers
The Lakers are the athletic teams representing Grand Valley State University in NCAA Division II sports.
-
E.
Lakers
The Lakers are the athletic teams representing Lake Superior State University in collegiate sports competitions.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f99b37c081908c13e0b4cca52aa4 |
completed | April 20, 2026, 10:02 a.m. |
Created at: April 10, 2026, 1:17 p.m.