Triple
T33303755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Neal as Dominique Francon |
E852656
|
entity |
| Predicate | actressFullName |
P176468
|
FINISHED |
| Object | Patricia Neal |
—
|
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: Patricia Neal | Statement: [Patricia Neal as Dominique Francon, actressFullName, Patricia Neal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actressFullName Context triple: [Patricia Neal as Dominique Francon, actressFullName, Patricia Neal]
-
A.
actress
Indicates that the subject is a female performer who acts in films, television, theater, or other dramatic productions.
-
B.
fullNameInFilmCredits
Indicates that a person’s complete legal or professional name is used in the official credits of a film.
-
C.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
-
D.
fullNameInCredits
Indicates that an entity’s complete name is listed in the official credits of a work.
-
E.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
- F. None of above. chosen
Provenance (4 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:33 a.m.