Triple
T3675455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haas family |
E77980
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Levi Strauss & Co. |
E31749
|
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: Levi Strauss & Co. | Statement: [Haas family, associatedWith, Levi Strauss & Co.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levi Strauss & Co. Context triple: [Haas family, associatedWith, Levi Strauss & Co.]
-
A.
Levi's
chosen
Levi's is an iconic American denim and apparel brand best known for pioneering blue jeans and casual wear worldwide.
-
B.
Sasson Jeans
Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
-
C.
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.
-
D.
Hanesbrands
Hanesbrands is a leading American apparel company best known for its Hanes and Champion brands of underwear, activewear, and basic clothing.
-
E.
Pepe Jeans
Pepe Jeans is a British denim and casualwear fashion brand known for its trendy jeans and youthful, urban style.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4619cf08190a09a4a820c59cbc4 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a50d40819081aad0c72bcaee9d |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.