Triple
T22972963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garage Days |
E571236
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Pia Miranda |
—
|
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: Pia Miranda | Statement: [Garage Days, starredActor, Pia Miranda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pia Miranda Context triple: [Garage Days, starredActor, Pia Miranda]
-
A.
Pia Miranda
chosen
Pia Miranda is an Australian actress best known for her breakout role in the film adaptation of the coming-of-age novel "Looking for Alibrandi."
-
B.
Marisa Paredes
Marisa Paredes is a renowned Spanish actress best known for her frequent collaborations with director Pedro Almodóvar and her prominent roles in European cinema.
-
C.
Otmara Marrero
Otmara Marrero is an American actress best known for her leading role as Izzy Morales in the television series "StartUp."
-
D.
Sylvia Miranda
Sylvia Miranda is a notable individual recognized for bearing the surname Miranda, though specific widely known public details about her are limited.
-
E.
Maria Vargas
Maria Vargas is the charismatic Spanish dancer-turned-film-star at the center of the 1954 drama "The Barefoot Contessa," whose rise to fame and tragic fate drive the film's narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.