Triple
T16091526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Land of Women |
E390368
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Elena Anaya |
E205630
|
NE FINISHED |
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: Elena Anaya | Statement: [In the Land of Women, stars, Elena Anaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Anaya Context triple: [In the Land of Women, stars, Elena Anaya]
-
A.
Elena Anaya
chosen
Elena Anaya is a Spanish actress known for her roles in both European cinema and Hollywood productions, including prominent performances in films like "The Skin I Live In."
-
B.
Ana de Armas
Ana de Armas is a Cuban-Spanish actress known for her breakout roles in films such as "Blade Runner 2049," "Knives Out," and "Blonde."
-
C.
Chimene Diaz
Chimene Diaz is the older sister of American actress Cameron Diaz and is a non-celebrity who has largely stayed out of the public spotlight.
-
D.
Úrsula Corberó
Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
-
E.
Xochitl Gomez
Xochitl Gomez is an American actress best known for playing the multiverse-traveling teen hero America Chavez in the Marvel Cinematic Universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29da7008190aebeb35113e726ef |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.