Triple
T29370471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If I Stay |
E744838
|
entity |
| Predicate | filmLeadRole |
P151606
|
FINISHED |
| Object | Mia Hall |
—
|
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: Mia Hall | Statement: [If I Stay, filmLeadRole, Mia Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLeadRole Context triple: [If I Stay, filmLeadRole, Mia Hall]
-
A.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
B.
originalLeadActorRole
chosen
Indicates the role originally played by a particular lead actor in a given production or work.
-
C.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
D.
filmCaptainActor
Indicates that the actor plays the role of a captain in the specified film.
-
E.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669aa3a788190ace4f8d5edbe0708 |
completed | May 2, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:26 p.m.