Triple
T18951528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samu García |
E463665
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Samu García |
—
|
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: Samu García | Statement: [Samu García, name, Samu García]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samu García Context triple: [Samu García, name, Samu García]
-
A.
Samu García
chosen
Samu García is a Spanish professional footballer known for playing as a winger in La Liga.
-
B.
Samu Castillejo
Samu Castillejo is a Spanish professional footballer known for playing as a winger for clubs such as Málaga, Villarreal, AC Milan, and Valencia.
-
C.
Mateo Gil
Mateo Gil is a Spanish screenwriter and film director known for his collaborations with Alejandro Amenábar on acclaimed films such as "The Sea Inside" and "Open Your Eyes."
-
D.
Sebastian Saiz
Sebastian Saiz is a Spanish professional basketball player known for his standout performances in Japan's B.League and contributions to the Spanish national team setup.
-
E.
Gabriel Ferrer
Gabriel Ferrer is an American Episcopal priest and actor, known as the son of Oscar-winning actor José Ferrer and singer Rosemary Clooney.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d54385e08190903a054681352d11 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, noon