Triple
T19305960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlene Francis |
E482827
|
entity |
| Predicate | coStarredWith |
P14987
|
FINISHED |
| Object | John Charles Daly |
—
|
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: John Charles Daly | Statement: [Arlene Francis, coStarredWith, John Charles Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Charles Daly Context triple: [Arlene Francis, coStarredWith, John Charles Daly]
-
A.
John Charles Daly
chosen
John Charles Daly was an American radio and television newsman and game show host best known for moderating the long-running panel show "What's My Line?".
-
B.
John Daly
John Daly was a local landowner and civic figure after whom the Californian city of Daly City was named.
-
C.
John Daly
John Daly was a prominent British film producer known for backing influential independent and Oscar-winning films through his company Hemdale Film Corporation.
-
D.
John Daly
John Daly is a cinematographer known for his work on the 1995 film adaptation of Jane Austen's "Persuasion."
-
E.
John Daly
John Daly is an American professional golfer known for his long drives, unorthodox lifestyle, and two major championship victories.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c84fe08190869463bdd0324160 |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.