Triple
T36749382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat and Margaret |
E907861
|
entity |
| Predicate | starredVictoriaWoodAs |
P9616
|
FINISHED |
| Object | Pat |
—
|
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: Pat | Statement: [Pat and Margaret, starredVictoriaWoodAs, Pat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starredVictoriaWoodAs Context triple: [Pat and Margaret, starredVictoriaWoodAs, Pat]
-
A.
starredAustralianActress
Indicates that a person performed a starring role as an actress in an Australian production.
-
B.
starredActorWith
Indicates that one entity participated as an actor in a production together with another specified actor.
-
C.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
D.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
E.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
- 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_69f76e76d10881909ec1679bc043108c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.