Triple
T16676020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cure |
E405217
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Phil Thornalley |
E868764
|
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: Phil Thornalley | Statement: [The Cure, hasFormerMember, Phil Thornalley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Thornalley Context triple: [The Cure, hasFormerMember, Phil Thornalley]
-
A.
Phil Thornalley
chosen
Phil Thornalley is a British songwriter, record producer, and musician best known for his work with artists like The Cure and Natalie Imbruglia.
-
B.
Phil Anderson
Phil Anderson is an Australian former professional road cyclist renowned as one of the leading stage racers of the 1980s and the first non-European to wear the Tour de France yellow jersey.
-
C.
Ian Walters
Ian Walters was a British sculptor best known for his politically engaged public monuments, including prominent statues of anti-apartheid leader Nelson Mandela.
-
D.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
E.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d31372c8190b9d73a9b7db51f0f |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.