Triple
T3960702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Housemartins |
E85895
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Go! Discs |
E402163
|
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: Go! Discs | Statement: [The Housemartins, recordLabel, Go! Discs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go! Discs Context triple: [The Housemartins, recordLabel, Go! Discs]
-
A.
Go! Discs
chosen
Go! Discs was a British independent record label known for releasing influential alternative, indie, and dance music in the 1980s and 1990s.
-
B.
Boomerang
Boomerang is a 1992 romantic comedy film starring Eddie Murphy that follows a suave advertising executive whose womanizing ways are challenged when he meets his match.
-
C.
Boomerang
Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
-
D.
Boomerang
Boomerang is a steel shuttle roller coaster known for its forward-and-backward looping layout, operating at the Worlds of Fun amusement park in Kansas City, Missouri.
-
E.
Pengo
Pengo is a Dravidian language spoken primarily by the Pengo people in parts of central India, especially in Odisha and neighboring regions.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9602a7c81909743672392f832f6 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400311bc81908379313e2d444557 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:31 p.m.