Triple
T21990675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Taylor Pucci |
E543077
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pucci |
—
|
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: Pucci | Statement: [Lou Taylor Pucci, familyName, Pucci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pucci Context triple: [Lou Taylor Pucci, familyName, Pucci]
-
A.
Armani
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
-
B.
Cerruti
Cerruti is a Spanish-language surname of Italian origin borne by various notable individuals in fields such as politics, sports, and the arts.
-
C.
Moschino
Moschino is an Italian luxury fashion house known for its playful, irreverent designs and bold, pop-culture-inspired aesthetic.
-
D.
Liu Jo
Liu Jo is an Italian fashion brand known for its contemporary women’s clothing, denim, and accessories.
-
E.
Emilio Pucci
chosen
Emilio Pucci was an Italian fashion designer renowned for his vibrant, geometric prints and influential mid-20th-century luxury clothing brand.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.