Triple
T14412148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felices 140 |
E357354
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Nacho Ruiz Capillas |
E864629
|
NE FINISHED |
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: Nacho Ruiz Capillas | Statement: [Felices 140, editedBy, Nacho Ruiz Capillas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nacho Ruiz Capillas Context triple: [Felices 140, editedBy, Nacho Ruiz Capillas]
-
A.
Nacho Ruiz Capillas
chosen
Nacho Ruiz Capillas is a Spanish film editor known for his work on acclaimed films such as "The Sea Inside."
-
B.
Nacho Gil
Nacho Gil is a Spanish professional footballer known for playing as an attacking midfielder or winger in Spain's football leagues.
-
C.
Pablo Palazuelo
Pablo Palazuelo was a Spanish abstract painter and sculptor renowned for his geometric, spiritually infused works and as a leading figure in postwar Spanish art.
-
D.
Fernando García
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
-
E.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfcd67f081909f97bcf38d814a13 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 1:17 a.m.