Triple
T26486297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Perils of Pauline |
E664830
|
entity |
| Predicate | yearOfFilmDebutForActor |
P174240
|
FINISHED |
| Object | Pearl White |
—
|
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: Pearl White | Statement: [The Perils of Pauline, yearOfFilmDebutForActor, Pearl White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfFilmDebutForActor Context triple: [The Perils of Pauline, yearOfFilmDebutForActor, Pearl White]
-
A.
filmDebutFor
Indicates that a particular work marks the first film appearance or role of a given person.
-
B.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
C.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
D.
filmDebutInHollywoodFor
Indicates that one entity made its first appearance or debut in Hollywood through the other entity (such as a specific film or role).
-
E.
filmIndustryDebut
Indicates the event or point in time when an entity first appears or participates in the film industry, such as through a first film role, production, or related professional activity.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 27, 2026, 12:30 a.m.