Triple
T32328976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Boy Like That / I Have a Love |
E825994
|
entity |
| Predicate | 1961FilmPerformerOfAnita |
P60534
|
FINISHED |
| Object | Rita Moreno |
—
|
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: Rita Moreno | Statement: [A Boy Like That / I Have a Love, 1961FilmPerformerOfAnita, Rita Moreno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 1961FilmPerformerOfAnita Context triple: [A Boy Like That / I Have a Love, 1961FilmPerformerOfAnita, Rita Moreno]
-
A.
portrayedIn1953FilmBy
Indicates that an entity (typically a person or character) was depicted or played by another entity in a film released in the year 1953.
-
B.
famousFilmVersionPerformer
Indicates that the subject is a performer who appeared in a well-known or widely recognized film adaptation or version of the referenced work.
-
C.
filmAdaptationEvaPerformer
chosen
Indicates that the subject is a performer who played the character Eva in a film adaptation of the referenced work.
-
D.
madeFamousByFilm
Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
-
E.
pre1947Actor
Indicates that the person was active as an actor before the year 1947.
- 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_69f6b633e0c88190a727bb7d2751e2d5 |
completed | May 3, 2026, 2:43 a.m. |
Created at: May 1, 2026, 12:47 a.m.