Triple
T13517726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordi Mollà |
E322808
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Jordi Mollà i Perales |
E322808
|
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: Jordi Mollà i Perales | Statement: [Jordi Mollà, birthName, Jordi Mollà i Perales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordi Mollà i Perales Context triple: [Jordi Mollà, birthName, Jordi Mollà i Perales]
-
A.
Jordi Mollà
chosen
Jordi Mollà is a Spanish actor, director, and artist known for his intense character roles in both European cinema and Hollywood films such as "Blow" and "Bad Boys II."
-
B.
Miquel Garriga i Roca
Miquel Garriga i Roca was a 19th-century Catalan architect best known for his role in designing Barcelona’s Gran Teatre del Liceu.
-
C.
Francesc Mitjans
Francesc Mitjans was a Spanish architect best known for designing FC Barcelona’s iconic Camp Nou stadium.
-
D.
Miquel Costa i Llobera
Miquel Costa i Llobera was a Catalan poet and priest known for his refined classical style and significant contribution to Catalan literature in the late 19th and early 20th centuries.
-
E.
Adrià Puigdomènech Badia
Adrià Puigdomènech Badia is a researcher and contributor in the field of computer science, known for work related to the A3C (Asynchronous Advantage Actor-Critic) reinforcement learning algorithm.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8239c481909faf5a9c403b55f2 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:44 p.m.