Triple
T16843639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking Good Dead |
E409476
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Peter James |
E83660
|
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 James | Statement: [Looking Good Dead, author, Peter James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter James Context triple: [Looking Good Dead, author, Peter James]
-
A.
Peter James
chosen
Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
-
B.
Peter James
Peter James is an Australian cinematographer known for his work on numerous feature films and television projects.
-
C.
Peter Robinson
Peter Robinson was a 19th-century Canadian politician and colonial administrator known for organizing large-scale Irish immigration to Upper Canada and serving in its government.
-
D.
Peter Robinson
Peter Robinson is a Northern Irish politician who served as leader of the Democratic Unionist Party and First Minister of Northern Ireland.
-
E.
John Robie
John Robie is a retired jewel thief known as "The Cat" who becomes embroiled in a new string of robberies on the French Riviera in Alfred Hitchcock's film "To Catch a Thief."
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35284588190a1d6238438f3e70d |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc366bc819084406ee88ddffe44 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:24 a.m.