Triple
T7923441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Hart |
E184000
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Josh Hart |
E184000
|
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: Josh Hart | Statement: [Josh Hart, name, Josh Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Hart Context triple: [Josh Hart, name, Josh Hart]
-
A.
Josh Hart
chosen
Josh Hart is an American professional basketball player and former Villanova University standout known for his versatility, rebounding, and two-way play on the wing.
-
B.
Marcus Higgins
Marcus Higgins is a comedic character portrayed by David Spade in the Grown Ups film series, known as one of Lenny Feder’s immature but loyal childhood friends.
-
C.
T. J. Warren
T. J. Warren is an American professional basketball player known for his scoring ability as a forward in the NBA.
-
D.
Gordon Hayward
Gordon Hayward is an American professional basketball player, best known for his NBA career and for leading Butler University to back-to-back NCAA championship game appearances.
-
E.
Jerian Grant
Jerian Grant is an American professional basketball player known for his collegiate career at Notre Dame and subsequent play in the NBA and overseas.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aaadd1c8190971f2a6c7636cae4 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bf3c3288190ac3df917be92f9f8 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:06 p.m.