Triple
T22488878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Ferrer |
E555963
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Esther Ferrer |
—
|
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: Esther Ferrer | Statement: [Esther Ferrer, name, Esther Ferrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esther Ferrer Context triple: [Esther Ferrer, name, Esther Ferrer]
-
A.
Esther Ferrer
chosen
Esther Ferrer is a Spanish performance and conceptual artist known for her pioneering work in action art and minimal, often participatory installations.
-
B.
Karin Ferrer
Karin Ferrer is known as the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
-
C.
Josefa Ferrer
Josefa Ferrer is an actress known for playing the character Maria.
-
D.
Maria Ferres
Maria Ferres is the central female protagonist of Gabriele D'Annunzio's novel "Il piacere," embodying the themes of sensuality, aestheticism, and moral conflict in fin-de-siècle Roman high society.
-
E.
Isabelle Ferrer
Isabelle Ferrer is a French woman best known for being the former wife of legendary footballer and actor Eric Cantona.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3f3b4c819092bfe6495c61db46 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.