Triple
T17774252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strauss |
E443722
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Levi Strauss |
—
|
NE NERFINISHED |
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 | Statement: [Strauss, hasNotableBearer, Levi Strauss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levi Strauss Context triple: [Strauss, hasNotableBearer, Levi Strauss]
-
A.
Desmond Jeans
Desmond Jeans was a British actor active in the early to mid-20th century, known for his work on stage and in film.
-
B.
Levi's
chosen
Levi's is an iconic American denim and apparel brand best known for pioneering blue jeans and casual wear worldwide.
-
C.
Hudson Jeans
Hudson Jeans is a premium American denim brand known for its high-quality, fashion-forward jeans and strong presence in the contemporary designer market.
-
D.
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.
-
E.
Levi
Levi is a biblical patriarch, one of the twelve sons of Jacob and ancestor of the Israelite tribe of Levi, traditionally associated with priestly duties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871af4248190aed2b3bd42433771 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.