Triple
T20741228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Paperboy |
E510445
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Pete Dexter |
—
|
NE NERFINISHED |
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: Pete Dexter | Statement: [The Paperboy, screenwriter, Pete Dexter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pete Dexter Context triple: [The Paperboy, screenwriter, Pete Dexter]
-
A.
Peter Dexter
chosen
Peter Dexter is an American novelist and screenwriter known for his darkly comic, character-driven stories and the National Book Award–winning novel "Paris Trout."
-
B.
Tobias Wolff
Tobias Wolff is an American author and memoirist renowned for his autobiographical works and short stories exploring memory, identity, and moral ambiguity.
-
C.
Andre Dubus
Andre Dubus was an American short story writer and essayist renowned for his psychologically rich, morally complex fiction often set in working-class New England.
-
D.
Paul Harding
Paul Harding is an American novelist best known for his Pulitzer Prize–winning debut novel "Tinkers."
-
E.
Paul Harding
Paul Harding is a British drum and bass producer and DJ best known as one half of the influential duo Pendulum.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.