Triple
T16675623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstition |
E405208
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kiss Them for Me |
E1072058
|
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: Kiss Them for Me | Statement: [Superstition, notableWork, Kiss Them for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiss Them for Me Context triple: [Superstition, notableWork, Kiss Them for Me]
-
A.
Kiss Them for Me
chosen
"Kiss Them for Me" is a 1957 romantic comedy film about three Navy pilots on shore leave in San Francisco, starring Cary Grant and Jayne Mansfield.
-
B.
Kiss Them for Me
"Kiss Them for Me" is a 1991 alternative rock single by Siouxsie and the Banshees that blends dream-pop and dance influences and became one of the band’s most commercially successful songs.
-
C.
Kiss Me
"Kiss Me" is a pop single by English singer Olly Murs, known for its catchy, upbeat style and romantic lyrics.
-
D.
Kiss Me
"Kiss Me" is a film featuring actress Vanessa Marquez in a notable role.
-
E.
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*.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d31372c8190b9d73a9b7db51f0f |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.