Triple
T24086726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Campbell |
E596667
|
entity |
| Predicate | filmDebutWithChaplin |
P12418
|
FINISHED |
| Object | The Floorwalker |
—
|
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: The Floorwalker | Statement: [Eric Campbell, filmDebutWithChaplin, The Floorwalker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmDebutWithChaplin Context triple: [Eric Campbell, filmDebutWithChaplin, The Floorwalker]
-
A.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
B.
soundFilmDebutDate
Indicates the date on which an entity first appeared in a sound film.
-
C.
filmDebutInHollywoodFor
Indicates that one entity made its first appearance or debut in Hollywood through the other entity (such as a specific film or role).
-
D.
filmDebut
chosen
Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
-
E.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2a76c881908ee6e599dc6d155e |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:44 p.m.