Triple
T6538979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan Couture |
E168236
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Couture |
E565552
|
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: Couture | Statement: [Logan Couture, familyName, Couture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couture Context triple: [Logan Couture, familyName, Couture]
-
A.
Couture
chosen
Couture is a French surname most notably borne by 19th-century painter Thomas Couture, renowned for his historical and genre scenes.
-
B.
Marchesa
Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
-
C.
Marchesa
Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
-
D.
HauteLook
HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
-
E.
Mlle. Modiste
Mlle. Modiste is a 1905 Broadway comic operetta with music by Victor Herbert that follows a young French milliner pursuing love and a stage career.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add4b7f881909e485325c353f51c |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53b861c81908adc984a3067d4ef |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:49 p.m.