Triple
T32328979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Boy Like That / I Have a Love |
E825994
|
entity |
| Predicate | 2021FilmPerformerOfAnita |
P173972
|
FINISHED |
| Object | Ariana DeBose |
—
|
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: Ariana DeBose | Statement: [A Boy Like That / I Have a Love, 2021FilmPerformerOfAnita, Ariana DeBose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 2021FilmPerformerOfAnita Context triple: [A Boy Like That / I Have a Love, 2021FilmPerformerOfAnita, Ariana DeBose]
-
A.
filmAdaptationEvaPerformer
Indicates that the subject is a performer who played the character Eva in a film adaptation of the referenced work.
-
B.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
C.
actress
Indicates that the subject is a female performer who acts in films, television, theater, or other dramatic productions.
-
D.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
E.
numberOfNationalFilmAwardsForBestActress
Indicates the count of times an entity has received the National Film Award for Best Actress.
- 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_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_69f6b633e0c88190a727bb7d2751e2d5 |
completed | May 3, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:47 a.m.