Triple
T12897683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Mankiewicz |
E308536
|
entity |
| Predicate | notableAward |
P11
|
FINISHED |
| Object | Edgar Award |
E39589
|
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: Edgar Award | Statement: [Don Mankiewicz, notableAward, Edgar Award]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edgar Award Context triple: [Don Mankiewicz, notableAward, Edgar Award]
-
A.
Edgar Award
chosen
The Edgar Award is a prestigious American literary prize presented by the Mystery Writers of America to honor outstanding works in mystery and crime fiction and nonfiction.
-
B.
Macavity Award
The Macavity Award is a prestigious annual honor presented by the Mystery Readers International organization to recognize outstanding works in the mystery and crime fiction genre.
-
C.
Gold Dagger
The Gold Dagger is a prestigious annual award presented by the Crime Writers' Association for the best crime novel of the year.
-
D.
Crime Writers’ Association Diamond Dagger
The Crime Writers’ Association Diamond Dagger is a prestigious lifetime achievement award honoring outstanding contributions to the field of crime writing.
-
E.
Dilys Award
The Dilys Award is a mystery fiction prize presented annually by the Independent Mystery Booksellers Association to the book they most enjoyed selling that year.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717f3fc48190b61c8f6f36cd0725 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55f98c08190b8910b1443841fa7 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.