Triple
T6125604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Footloose |
E136586
|
entity |
| Predicate | themeSongPerformer |
P9648
|
FINISHED |
| Object | Kenny Loggins |
E234795
|
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: Kenny Loggins | Statement: [Footloose, themeSongPerformer, Kenny Loggins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Loggins Context triple: [Footloose, themeSongPerformer, Kenny Loggins]
-
A.
Kenny Loggins
chosen
Kenny Loggins is an American singer-songwriter best known for his soft rock hits and iconic 1980s movie soundtrack songs such as "Footloose" and "Danger Zone."
-
B.
Dave Loggins
Dave Loggins is an American singer-songwriter best known for his 1974 hit "Please Come to Boston" and his work in country and soft rock music.
-
C.
Kim Carnes
Kim Carnes is an American singer-songwriter best known for her raspy voice and the 1981 hit single "Bette Davis Eyes."
-
D.
Peabo Bryson
Peabo Bryson is an American R&B and soul singer best known for his powerful ballads and duets, including several hit Disney movie theme songs.
-
E.
Michael McDonald
Michael McDonald is an American singer, songwriter, and keyboardist known for his soulful baritone voice and work with the Doobie Brothers as well as a successful solo 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c28dbbc8190a0a0c20ec794e81a |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135bd8d3881909873d2a063b3aecc |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.