Triple
T6529628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want to Know What Love Is |
E152195
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Agent Provocateur |
E602116
|
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: Agent Provocateur | Statement: [I Want to Know What Love Is, partOf, Agent Provocateur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agent Provocateur Context triple: [I Want to Know What Love Is, partOf, Agent Provocateur]
-
A.
Agent Provocateur
chosen
Agent Provocateur is a 1984 studio album by the British-American rock band Foreigner, noted for featuring their hit power ballad "I Want to Know What Love Is."
-
B.
Juicy Couture
Juicy Couture is an American fashion brand best known for its velour tracksuits and glamorous, casual lifestyle apparel and accessories.
-
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.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adaafbfc8190a3e3c75ea5958c67 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52ca9988190addfdae6d7b53a6e |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:46 p.m.