Triple
T4650026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Who |
E102268
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Track Records |
E435483
|
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: Track Records | Statement: [The Who, recordLabel, Track Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Track Records Context triple: [The Who, recordLabel, Track Records]
-
A.
Track Records
chosen
Track Records was a British independent record label best known for releasing influential rock music in the late 1960s, including albums by The Jimi Hendrix Experience.
-
B.
Tracks
Tracks is a 2013 biographical drama film chronicling Robyn Davidson’s 1,700-mile trek across the Australian desert, produced by Iain Canning.
-
C.
Tracks
"Tracks" is a critically acclaimed novel by Louise Erdrich that exemplifies the Native American Renaissance through its exploration of Ojibwe identity, history, and storytelling.
-
D.
Tracklacers
Tracklacers is a music production team known for working on pop and R&B records, including tracks on Christina Aguilera’s album "Lotus."
-
E.
Trackside
Trackside is a motorsports-focused television program that provided news, analysis, and behind-the-scenes coverage of auto racing events.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6302078081909451589d39c7b28c |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfae3d8f4819082ec002bc4d9819d |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.