Triple
T1477733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Jordan |
E30880
|
entity |
| Predicate | endorsedBrand |
P18857
|
FINISHED |
| Object | Hanes |
E125071
|
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: Hanes | Statement: [Michael Jordan, endorsedBrand, Hanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanes Context triple: [Michael Jordan, endorsedBrand, Hanes]
-
A.
Hanesbrands
chosen
Hanesbrands is a leading American apparel company best known for its Hanes and Champion brands of underwear, activewear, and basic clothing.
-
B.
Fruit of the Loom
Fruit of the Loom is a major American clothing manufacturer best known for its underwear, casualwear, and iconic fruit-themed logo.
-
C.
Levi's
Levi's is an iconic American denim and apparel brand best known for pioneering blue jeans and casual wear worldwide.
-
D.
Belk
Belk is a major American department store chain primarily located in the Southeastern United States, offering a wide range of apparel, home goods, and beauty products.
-
E.
Newell Brands
Newell Brands is a global consumer goods company known for its wide portfolio of household, writing, and outdoor product brands such as Rubbermaid, Sharpie, and Coleman.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c605d4c0819088ab06678b2ba6f3 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15add78c8190843efd75bbe8423f |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.