Triple
T30036835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Redhead from Wyoming |
E763181
|
entity |
| Predicate | characterPlayedBy Maureen O'Hara |
P9616
|
FINISHED |
| Object | Kate Maxwell |
—
|
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: Kate Maxwell | Statement: [The Redhead from Wyoming, characterPlayedBy Maureen O'Hara, Kate Maxwell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy Maureen O'Hara Context triple: [The Redhead from Wyoming, characterPlayedBy Maureen O'Hara, Kate Maxwell]
-
A.
characterPlayedBy Jill Clayburgh
Indicates that the specified character is portrayed or acted by Jill Clayburgh.
-
B.
characterPlayedBy Shirley Eaton
Indicates that a specific character is portrayed or acted by Shirley Eaton.
-
C.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
E.
characterPlayedByLizabethScott
Indicates that a given character is portrayed or acted by Lizabeth Scott.
- F. None of above.
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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 29, 2026, 6:51 p.m.