Triple
T21811849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulalia Ramón |
E538492
|
entity |
| Predicate | hasWorkedWith |
P9615
|
FINISHED |
| Object | Icíar Bollaín |
—
|
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: Icíar Bollaín | Statement: [Eulalia Ramón, hasWorkedWith, Icíar Bollaín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Icíar Bollaín Context triple: [Eulalia Ramón, hasWorkedWith, Icíar Bollaín]
-
A.
Icíar Bollaín
chosen
Icíar Bollaín is a Spanish film director, screenwriter, and actress known for her socially conscious and character-driven films such as "Take My Eyes" and "Even the Rain."
-
B.
Bollaín
Bollaín is a Spanish surname most prominently associated with filmmaker and actress Icíar Bollaín.
-
C.
Keir O’Donnell
Keir O’Donnell is an Australian-born American actor known for his character roles in films such as "Wedding Crashers" and various television series.
-
D.
Michael D. Higgins
Michael D. Higgins is an Irish politician, poet, sociologist, and human rights advocate who has served as the ninth president of Ireland.
-
E.
Robin Swann
Robin Swann is a Northern Irish Ulster Unionist politician best known for serving as Minister of Health in the Northern Ireland Executive, particularly during the COVID-19 pandemic.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.