Triple
T19344625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Nash |
E483842
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kiss Me |
—
|
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: Kiss Me | Statement: [Leigh Nash, notableWork, Kiss Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiss Me Context triple: [Leigh Nash, notableWork, Kiss Me]
-
A.
Kiss Me
"Kiss Me" is the smooth, jazz-influenced theme song best known for its use in the opening credits of the classic American sitcom *The Cosby Show*.
-
B.
Kiss Me
"Kiss Me" is a pop single by English singer Olly Murs, known for its catchy, upbeat style and romantic lyrics.
-
C.
Kiss Me
chosen
"Kiss Me" is a 1998 romantic pop song by Sixpence None the Richer that became widely known for its prominent use in the teen film "She's All That."
-
D.
Kiss Me
"Kiss Me" is a film featuring actress Vanessa Marquez in a notable role.
-
E.
Kiss Me
"Kiss Me" is a pop song featured on Robbie Williams' album "Rudebox."
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618598dc08190a723398dd6fe551d |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:34 p.m.