Triple
T15073063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Award |
E379929
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Tana French |
E545949
|
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: Tana French | Statement: [Barry Award, notableRecipient, Tana French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tana French Context triple: [Barry Award, notableRecipient, Tana French]
-
A.
Tana French
chosen
Tana French is an acclaimed Irish-based crime novelist best known for her psychologically rich Dublin Murder Squad series.
-
B.
Val McDermid
Val McDermid is a Scottish crime writer renowned for her psychological thrillers and influential contributions to contemporary crime fiction.
-
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.
Moira Harris
Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
-
E.
Andrea Cornwell
Andrea Cornwell is a British film and television producer known for her work on independent features and critically acclaimed dramas.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fa0570819088a97b28173154cd |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5cff69c8190b6252509c1aa7ebb |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.