Triple
T18094324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutineer |
E433044
|
entity |
| Predicate | titleTrack |
P8087
|
FINISHED |
| Object | Mutineer (song) |
—
|
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: Mutineer (song) | Statement: [Mutineer, titleTrack, Mutineer (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutineer (song) Context triple: [Mutineer, titleTrack, Mutineer (song)]
-
A.
Mutineer (song)
chosen
"Mutineer" is a song by American singer-songwriter Warren Zevon, known for its intimate, minimalist style and later popularized further through covers by artists such as Tom Waits.
-
B.
Mutiny!
"Mutiny!" is a dramatic musical cue from the WALL·E film score composed by Thomas Newman, underscoring a pivotal moment of conflict and rebellion in the movie.
-
C.
Mutiny!
Mutiny! is a stage musical inspired by the story of the HMS Bounty, featuring music by pop star and actor David Essex.
-
D.
Mutineers
Mutineers is a 2014 studio album by British singer-songwriter David Gray that marked a stylistic shift toward more atmospheric and experimental production in his music.
-
E.
Sian Mutiny
Sian Mutiny is a historical political uprising in China involving a revolt against the ruling authorities in the city of Xi'an.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1b670081908e1e1083436da04e |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.