Triple
T7380276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Jordan |
E170229
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Michael Jordan |
E30880
|
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: Michael Jordan | Statement: [Air Jordan, namedAfter, Michael Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Jordan Context triple: [Air Jordan, namedAfter, Michael Jordan]
-
A.
Michael Jordan
chosen
Michael Jordan is a legendary American basketball player widely regarded as one of the greatest athletes in the history of the sport.
-
B.
Michael Jordan
Michael Jordan is a prominent computer scientist and statistician known for his influential work in machine learning, probabilistic graphical models, and statistical inference.
-
C.
Michael Bakari Jordan
Michael Bakari Jordan is an American actor and producer best known for his roles in films such as "Fruitvale Station," "Creed," and "Black Panther."
-
D.
Kobe Bryant
Kobe Bryant was an American professional basketball player, primarily with the Los Angeles Lakers, widely regarded as one of the greatest players in NBA history.
-
E.
Kareem Abdul-Jabbar
Kareem Abdul-Jabbar is a legendary American basketball center, the NBA’s all-time leading scorer for decades and a key figure in multiple championship teams, especially with the Los Angeles Lakers.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c61484819087874d4e7f9fd791 |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89a63b7e481909198ea21d7ee5159 |
completed | March 29, 2026, 3:20 a.m. |
Created at: March 27, 2026, 3:08 p.m.