Triple
T38088949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Electric House |
E951057
|
entity |
| Predicate | starsPerformerAsRole |
P148906
|
FINISHED |
| Object | Buster Keaton as a botany student |
—
|
LITERAL FINISHED |
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: Buster Keaton as a botany student | Statement: [The Electric House, starsPerformerAsRole, Buster Keaton as a botany student]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsPerformerAsRole Context triple: [The Electric House, starsPerformerAsRole, Buster Keaton as a botany student]
-
A.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
-
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.
performingArtRole
chosen
Indicates a role or function that an entity fulfills within the context of a performing arts activity or production.
-
E.
hasPerformerCredit
Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:21 p.m.