Triple
T11993005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanan Townshend |
E285456
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object | Nike |
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 | Statement: [Hanan Townshend, hasWorkedFor, Nike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nike Context triple: [Hanan Townshend, hasWorkedFor, Nike]
-
A.
Nike
Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
-
B.
Nikes
"Nikes" is a critically acclaimed, genre-blending opening track by Frank Ocean that explores themes of materialism, grief, and identity.
-
C.
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.
-
D.
Nike Air Max
Nike Air Max is a popular line of Nike sneakers known for their visible air-cushioning units in the sole, combining performance technology with distinctive streetwear style.
-
E.
Reebok
Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.