Triple
T20358982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El embarcadero |
E496724
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Esther Martínez Lobato |
—
|
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: Esther Martínez Lobato | Statement: [El embarcadero, creator, Esther Martínez Lobato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther Martínez Lobato Context triple: [El embarcadero, creator, Esther Martínez Lobato]
-
A.
Esther González
Esther González is a Spanish professional footballer and prolific striker known for her clinical finishing at both club level and with the Spain women’s national team.
-
B.
Esther Fernández
Esther Fernández was a prominent Mexican film actress known for her work during the Golden Age of Mexican cinema.
-
C.
Esther Acebo
Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
-
D.
Esther Bensusan
Esther Bensusan was the wife of French painter and printmaker Lucien Pissarro, associated with his artistic and publishing activities in late 19th- and early 20th-century Britain.
-
E.
Esther García
Esther García is a prominent Spanish film producer best known for her long-standing collaboration with director Pedro Almodóvar on acclaimed films such as "Volver."
- 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: Esther Martínez Lobato Target entity description: Esther Martínez Lobato is a Spanish television screenwriter and producer best known for co-creating acclaimed series such as "El embarcadero" and "La casa de papel" (Money Heist).
-
A.
Esther González
Esther González is a Spanish professional footballer and prolific striker known for her clinical finishing at both club level and with the Spain women’s national team.
-
B.
Esther Fernández
Esther Fernández was a prominent Mexican film actress known for her work during the Golden Age of Mexican cinema.
-
C.
Esther Acebo
Esther Acebo is a Spanish actress and television presenter best known internationally for her role as Mónica Gaztambide (Stockholm) in the hit series "Money Heist."
-
D.
Esther Bensusan
Esther Bensusan was the wife of French painter and printmaker Lucien Pissarro, associated with his artistic and publishing activities in late 19th- and early 20th-century Britain.
-
E.
Esther García
Esther García is a prominent Spanish film producer best known for her long-standing collaboration with director Pedro Almodóvar on acclaimed films such as "Volver."
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678573fc481908bf257e6ed41d750 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.