Triple
T14540240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Bayley |
E341148
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Heat Waves |
E341150
|
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: Heat Waves | Statement: [Dave Bayley, notableWork, Heat Waves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heat Waves Context triple: [Dave Bayley, notableWork, Heat Waves]
-
A.
Heat Waves
chosen
"Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
-
B.
Heat Wave
"Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
-
C.
Heat Wave
"Heat Wave" is a 1963 Motown hit song by Martha and the Vandellas, celebrated as one of the defining tracks of the early soul and R&B era.
-
D.
Heat
Heat is OpenStack’s orchestration service that automates the deployment and management of cloud infrastructure using template-based definitions.
-
E.
Heat
Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5cca788190aa8762d860c78721 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.