Triple
T1790857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air (2023 film) |
E39490
|
entity |
| Predicate | subject |
P450
|
FINISHED |
| Object | Air Jordan |
E170229
|
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: Air Jordan | Statement: [Air (2023 film), subject, Air Jordan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Air Jordan Context triple: [Air (2023 film), subject, Air Jordan]
-
A.
Air Jordan
chosen
Air Jordan is a highly influential and iconic basketball and lifestyle sneaker brand created for Michael Jordan and produced by Nike.
-
B.
Air Force Ones
"Air Force Ones" is a 2002 hip hop song by Nelly that popularized and celebrated Nike Air Force 1 sneakers in mainstream culture.
-
C.
Michael Jordan
Michael Jordan is a legendary American basketball player widely regarded as one of the greatest athletes in the history of the sport.
-
D.
Nike
Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
-
E.
Earvin
Earvin is the given first name of Magic Johnson, the legendary American basketball player and NBA Hall of Famer.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6512804c8190a5743c10bd37f83f |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5d063d48190aef6796ee3957994 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:32 p.m.