Triple
T15972187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maurice Greene |
E387351
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Nike (sponsored athlete) |
E7899
|
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: Nike (sponsored athlete) | Statement: [Maurice Greene, memberOfSportsTeam, Nike (sponsored athlete)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nike (sponsored athlete) Context triple: [Maurice Greene, memberOfSportsTeam, Nike (sponsored athlete)]
-
A.
Nike, Inc.
chosen
Nike, Inc. is a multinational corporation best known as one of the world’s leading designers, marketers, and distributors of athletic footwear, apparel, and sports equipment.
-
B.
Nike
Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
-
C.
Nike
Nike is a town and suburban area within Enugu East Local Government Area in Enugu State, southeastern Nigeria.
-
D.
Nikes
"Nikes" is a critically acclaimed, genre-blending opening track by Frank Ocean that explores themes of materialism, grief, and identity.
-
E.
Ibagwa Nike
Ibagwa Nike is a town in southeastern Nigeria located within Enugu State’s Enugu East area.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8afa288190838cb35b8a4fcf50 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.