Triple
T9058321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Always |
E217059
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter Collins |
E590534
|
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: Peter Collins | Statement: [Always, producer, Peter Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Collins Context triple: [Always, producer, Peter Collins]
-
A.
Peter Collins
chosen
Peter Collins is a British record producer known for his work with prominent rock and metal artists in the 1980s and beyond.
-
B.
James Collinson
James Collinson was a 19th-century English painter associated with the Pre-Raphaelite Brotherhood and early Victorian art circles.
-
C.
Paul Collins
Paul Collins is a voice actor best known for providing the voice of Peter Pan in animated adaptations.
-
D.
Andrew Brice
Andrew Brice is an Australian entrepreneur best known as the co-founder of the online travel company Wotif Group.
-
E.
Anthony Tiffith
Anthony Tiffith is an American music executive and entrepreneur best known as the founder and CEO of the influential hip-hop label Top Dawg Entertainment, home to artists like Kendrick Lamar and SZA.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7ec808bc8190957b80820d98fd5b |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:10 p.m.