Triple
T15737816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilys Award |
E381519
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object | Harlan Coben |
E663492
|
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: Harlan Coben | Statement: [Dilys Award, notableWinner, Harlan Coben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlan Coben Context triple: [Dilys Award, notableWinner, Harlan Coben]
-
A.
Harlan Coben
chosen
Harlan Coben is an American mystery and thriller novelist known for his twist-filled plots and bestselling standalone and series crime novels.
-
B.
Linwood Barclay
Linwood Barclay is a Canadian author best known for his bestselling crime and thriller novels, often featuring ordinary people caught in extraordinary and suspenseful situations.
-
C.
Andrew Gross
Andrew Gross is a film composer known for scoring movies such as the dark comedy "Mini's First Time."
-
D.
Andrew Gross
Andrew Gross is an American author best known for his bestselling thrillers and for coauthoring several novels with James Patterson.
-
E.
Jeff Lindsay
Jeff Lindsay is an American novelist best known for creating the character Dexter Morgan in the crime thriller series that inspired the television show "Dexter."
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd6eb888190b7a9b07b76e62c0d |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830336248190a8bbd8153dd95daa |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.