Triple
T16526430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartier Diamond Dagger |
E401451
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Val McDermid |
E477377
|
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: Val McDermid | Statement: [Cartier Diamond Dagger, notableRecipient, Val McDermid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val McDermid Context triple: [Cartier Diamond Dagger, notableRecipient, Val McDermid]
-
A.
Val McDermid
chosen
Val McDermid is a Scottish crime writer renowned for her psychological thrillers and influential contributions to contemporary crime fiction.
-
B.
Lynda La Plante
Lynda La Plante is a British novelist, screenwriter, and former actress best known for her gritty crime dramas and influential work in television police procedurals.
-
C.
Charles Todd
Charles Todd is an American author best known as half of the mother-and-son writing team behind the Inspector Ian Rutledge and Bess Crawford historical mystery series.
-
D.
Denise Mina
Denise Mina is a Scottish crime writer acclaimed for her gritty, socially aware novels and contributions to contemporary crime fiction.
-
E.
Susan Hill
Susan Hill is a British author best known for her ghost stories and novels, including the modern classic "The Woman in Black."
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed3f0388190a9f03473c37dfc46 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da0867881908ad9391d6d4cdebb |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:14 a.m.