Triple
T20413365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Sarli |
E500642
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | La mujer del mar |
—
|
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 mar | Statement: [Isabel Sarli, notableWork, La mujer del mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La mujer del mar Context triple: [Isabel Sarli, notableWork, La mujer del mar]
-
A.
La Reine de la mer
La Reine de la mer is a lesser-known dramatic work by French playwright Marcelle Maurette, reflecting her characteristic interest in historical and emotionally intense narratives.
-
B.
Queen of the Sea
Queen of the Sea is the mythological title of Amphitrite, the sea goddess and wife of Poseidon in ancient Greek mythology.
-
C.
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.
-
D.
The Sea Lady
The Sea Lady is a 1902 fantasy novel by H. G. Wells that satirically explores Edwardian society through the disruptive arrival of a mysterious mermaid.
-
E.
The Sea Lady
The Sea Lady is a 2006 novel by British author Margaret Drabble that intertwines memory, identity, and the passage of time through the reunion of two former lovers at a seaside conference.
- 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 mar Target entity description: 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.
-
A.
La Reine de la mer
La Reine de la mer is a lesser-known dramatic work by French playwright Marcelle Maurette, reflecting her characteristic interest in historical and emotionally intense narratives.
-
B.
Queen of the Sea
Queen of the Sea is the mythological title of Amphitrite, the sea goddess and wife of Poseidon in ancient Greek mythology.
-
C.
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.
-
D.
The Sea Lady
The Sea Lady is a 1902 fantasy novel by H. G. Wells that satirically explores Edwardian society through the disruptive arrival of a mysterious mermaid.
-
E.
The Sea Lady
The Sea Lady is a 2006 novel by British author Margaret Drabble that intertwines memory, identity, and the passage of time through the reunion of two former lovers at a seaside conference.
- F. None of above. chosen
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.