Triple
T20413378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Sarli |
E500642
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | La mujer del agua |
—
|
NE NERFINISHED |
How this triple was built (3 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: La mujer del agua | Statement: [Isabel Sarli, notableWork, La mujer del agua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La mujer del agua Context triple: [Isabel Sarli, notableWork, La mujer del agua]
-
A.
La mujer del río
La mujer del río is a 1954 Argentine drama film starring Isabel Sarli that helped establish her as a major sex symbol in Latin American cinema.
-
B.
La mujer del mar
La mujer del mar is an Argentine film starring Isabel Sarli, known for its blend of erotic melodrama and coastal setting characteristic of her collaborations with director Armando Bó.
-
C.
La memoria del agua
La memoria del agua is a Spanish film drama centered on grief and emotional recovery, known in part for featuring actor Álvaro Morte in its cast.
-
D.
La Sirena de Pecera
La Sirena de Pecera is an experimental rock album by the American band Old Time Relijun, known for its raw, avant-garde sound and eclectic instrumentation.
-
E.
La Sirena
La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La mujer del agua Target entity description: La mujer del agua is an Argentine film starring Isabel Sarli, known for its blend of eroticism and melodrama characteristic of her cult cinema career.
-
A.
La mujer del río
La mujer del río is a 1954 Argentine drama film starring Isabel Sarli that helped establish her as a major sex symbol in Latin American cinema.
-
B.
La mujer del mar
chosen
La mujer del mar is an Argentine film starring Isabel Sarli, known for its blend of erotic melodrama and coastal setting characteristic of her collaborations with director Armando Bó.
-
C.
La memoria del agua
La memoria del agua is a Spanish film drama centered on grief and emotional recovery, known in part for featuring actor Álvaro Morte in its cast.
-
D.
La Sirena de Pecera
La Sirena de Pecera is an experimental rock album by the American band Old Time Relijun, known for its raw, avant-garde sound and eclectic instrumentation.
-
E.
La Sirena
La Sirena is a privately owned, Kaplan F17 speed freighter starship captained by Cristóbal Rios and used as the primary vessel by Jean-Luc Picard and his allies in the series Star Trek: Picard.
- F. None of above.
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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a417f208190be9bc11650ee0a87 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:30 a.m.