Triple
T18280378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LB |
E437847
|
entity |
| Predicate | associatedCompanyOwnedBrand |
P10460
|
FINISHED |
| Object | La Senza |
—
|
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: La Senza | Statement: [LB, associatedCompanyOwnedBrand, La Senza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Senza Context triple: [LB, associatedCompanyOwnedBrand, La Senza]
-
A.
La Senza
chosen
La Senza is a Canadian-based lingerie and intimate apparel retailer known for its affordable, fashion-focused underwear and sleepwear collections.
-
B.
Donzenac
Donzenac is a historic commune in central France’s Corrèze department, known for its medieval architecture and picturesque setting near Brive-la-Gaillarde.
-
C.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
D.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
E.
Herve
Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50055d2b88190a10199771f64c4b9 |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 10:34 a.m.