Triple
T36207233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stewart McMillan |
E1047431
|
entity |
| Predicate | coLeadCharacterIn |
P32032
|
FINISHED |
| Object | McMillan & Wife |
—
|
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: McMillan & Wife | Statement: [Stewart McMillan, coLeadCharacterIn, McMillan & Wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coLeadCharacterIn Context triple: [Stewart McMillan, coLeadCharacterIn, McMillan & Wife]
-
A.
leadCharacterBasedOn
Indicates that a lead character is derived from, inspired by, or adapted from a particular source entity (such as a real person, another character, or existing work).
-
B.
leadCharacterField
Indicates that one entity serves as the primary or main character associated with another entity, such as a work or production.
-
C.
leadCharacterCaste
Indicates that the lead character in a work belongs to a specified caste.
-
D.
coProtagonist
chosen
Indicates that two or more entities share the primary leading role together in the same narrative work.
-
E.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.