Triple
T32328980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Boy Like That / I Have a Love |
E825994
|
entity |
| Predicate | 2021FilmPerformerOfMaria |
P158643
|
FINISHED |
| Object | Rachel Zegler |
—
|
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: Rachel Zegler | Statement: [A Boy Like That / I Have a Love, 2021FilmPerformerOfMaria, Rachel Zegler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2021FilmPerformerOfMaria Context triple: [A Boy Like That / I Have a Love, 2021FilmPerformerOfMaria, Rachel Zegler]
-
A.
2021FilmPerformerOfAnita
Indicates that an entity performed the role or character named Anita in a film released in 2021.
-
B.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
C.
performedInFilmOpposite
Indicates that two performers acted together in significant, often directly interacting roles in the same film.
-
D.
filmAdaptationEvaPerformer
Indicates that the subject is a performer who played the character Eva in a film adaptation of the referenced work.
-
E.
sungInFilmBy
chosen
Indicates that a particular song was vocally performed in a film by a specific person or group.
- 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_69f34912d0c48190bba75770660320e9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bdec99648190824bce6e87d70be6 |
completed | May 3, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:47 a.m.