Triple
T16429485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Lévy |
E399034
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Miss Kittin |
E399035
|
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: Miss Kittin | Statement: [Mike Lévy, collaboratedWith, Miss Kittin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Kittin Context triple: [Mike Lévy, collaboratedWith, Miss Kittin]
-
A.
Miss Kittin
chosen
Miss Kittin is a French DJ, producer, and singer known for her influential role in the electroclash and techno scenes, particularly through her distinctive deadpan vocal style and club anthems.
-
B.
Miss Tina
Miss Tina is a central character in Dominick Argento’s opera "The Aspern Papers," adapted from Henry James’s novella, where she is portrayed as the reclusive niece entangled in the mystery surrounding the poet Aspern’s papers.
-
C.
Missy
Missy is a small Swiss municipality located in the canton of Vaud.
-
D.
Missy
Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
-
E.
Miss
Miss is a traditional English honorific used before the surname or full name of an unmarried or younger woman.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fd49708190abb5065fa430eff1 |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458331748190a4bd1c5d2d466e6d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.