Triple
T18094313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mutineer |
E433044
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Giant Records |
—
|
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: Giant Records | Statement: [Mutineer, recordLabel, Giant Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giant Records Context triple: [Mutineer, recordLabel, Giant Records]
-
A.
Giant Records
chosen
Giant Records was an American record label, active primarily in the 1990s, known for releasing rock, pop, and alternative music by artists such as Oingo Boingo.
-
B.
Galaxy Records
Galaxy Records is a jazz-focused record label known for releasing albums by prominent artists such as pianist Red Garland.
-
C.
King Records
King Records was an influential American independent record label, particularly known for its R&B, country, and early rock and roll releases in the mid-20th century.
-
D.
Landmark Records
Landmark Records was a jazz-focused record label known for producing albums by prominent artists such as pianist Mulgrew Miller during the 1980s and 1990s.
-
E.
Glass Records
Glass Records is an independent British record label known for releasing influential alternative and indie music during the 1980s.
- 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.