Triple
T1790876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air (2023 film) |
E39490
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Phil Knight |
E46705
|
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: Phil Knight | Statement: [Air (2023 film), portrays, Phil Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Knight Context triple: [Air (2023 film), portrays, Phil Knight]
-
A.
Phil Knight
chosen
Phil Knight is an American businessman and philanthropist best known as the co-founder and longtime leader of Nike, Inc.
-
B.
Bill Bowerman
Bill Bowerman was an American track and field coach and innovative footwear designer who co-founded Nike and helped revolutionize modern athletic shoe design.
-
C.
Paul Allen
Paul Allen was an American entrepreneur, investor, and philanthropist best known as the co-founder of Microsoft alongside Bill Gates.
-
D.
Pete Knight
Pete Knight was a renowned American test pilot and astronautical engineer best known for setting the world speed record for winged aircraft in the X-15 rocket plane.
-
E.
David William Cowens
David William Cowens is a Hall of Fame American basketball player and coach best known as a dominant, hard-nosed center for the Boston Celtics in the 1970s.
- 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.