Triple
T22491070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Selección |
E556018
|
entity |
| Predicate | hasNotableCoach |
P550
|
FINISHED |
| Object | Montse Tomé |
—
|
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: Montse Tomé | Statement: [La Selección, hasNotableCoach, Montse Tomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montse Tomé Context triple: [La Selección, hasNotableCoach, Montse Tomé]
-
A.
Montse Tomé
chosen
Montse Tomé is a Spanish football manager and former player who serves as head coach of the Spain women's national team.
-
B.
Marta Rovira
Marta Rovira is a Catalan lawyer and politician who serves as a leading figure in the pro-independence movement in Catalonia.
-
C.
Pilar García
Pilar García was a high-ranking Cuban military and police officer who became notorious for his role in repressing opposition under Fulgencio Batista’s dictatorship.
-
D.
María Saura
María Saura is the daughter of renowned Spanish film director Carlos Saura.
-
E.
Begoña Palacios
Begoña Palacios was a Mexican actress known for her roles in 1960s and 1970s cinema and for her marriage to American film director Sam Peckinpah.
- 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_69f15c40930c81908310ac6afd98c62e |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.