Triple
T10811380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Jeans |
E255106
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jeans |
E645129
|
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: Jeans | Statement: [Isabel Jeans, familyName, Jeans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeans Context triple: [Isabel Jeans, familyName, Jeans]
-
A.
Jeans
chosen
Jeans is a common English surname borne by various notable individuals, including the British physicist and astronomer Sir James Jeans.
-
B.
Jeans
"Jeans" is a 1998 Indian Tamil-language romantic comedy film directed by Shankar, known for its lavish production, visual effects, and A. R. Rahman’s popular soundtrack.
-
C.
Jupe
Jupe is a surname most notably associated with English actor Noah Jupe.
-
D.
Pantalone
Pantalone is a classic commedia dell'arte character, typically portrayed as a wealthy, miserly old Venetian merchant and frequent foil to the clever servant Harlequin.
-
E.
Ultra Stretch jeans
Ultra Stretch jeans are a popular line of Uniqlo denim known for their exceptional elasticity, comfort, and sleek, form-fitting 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b7bfac8190b6ae34144376d6ad |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de853692f08190914cbeaf1a558730 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.