Triple
T18144628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Payn |
E434354
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Payn |
—
|
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: James Payn | Statement: [James Payn, name, James Payn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Payn Context triple: [James Payn, name, James Payn]
-
A.
James Payn
chosen
James Payn was a 19th-century English novelist and journalist known for his popular fiction and influential role in Victorian literary circles.
-
B.
Lucas Reiner
Lucas Reiner is an American painter, photographer, and filmmaker known for his contemplative urban and nature-themed artworks and for being part of the creative Reiner family.
-
C.
Jonathan Dancy
Jonathan Dancy is a British moral philosopher best known for his work on moral particularism and contributions to contemporary ethical theory.
-
D.
David Paymer
David Paymer is an American character actor and director known for his prolific film and television career, including an Academy Award–nominated role in "Mr. Saturday Night."
-
E.
James Denton
James Denton is an American actor best known for playing plumber Mike Delfino on the television series "Desperate Housewives."
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de32d3f88190bd9f406729716407 |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.