Triple
T8840035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah and the Whale |
E210361
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Tom Hobden |
E786226
|
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: Tom Hobden | Statement: [Noah and the Whale, hasFormerMember, Tom Hobden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Hobden Context triple: [Noah and the Whale, hasFormerMember, Tom Hobden]
-
A.
Tom Hobden
chosen
Tom Hobden is a British musician best known as the violinist and multi-instrumentalist of the indie folk band Noah and the Whale.
-
B.
Bill Heslop
Bill Heslop is a domineering, corrupt small-town Australian politician and the overbearing father of the protagonist in the film "Muriel's Wedding."
-
C.
Howard Mollison
Howard Mollison is a domineering, conservative parish council leader and delicatessen owner in J.K. Rowling’s novel "The Casual Vacancy," known for his snobbery and political scheming in the small town of Pagford.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Clive Beddoe
Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b3a8a248190aa32981bdcbe570d |
completed | April 4, 2026, 5:01 a.m. |
Created at: March 30, 2026, 6:48 p.m.