Triple
T5977555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Pancetti |
E133036
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | José Pancetti |
E133036
|
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: José Pancetti | Statement: [José Pancetti, name, José Pancetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José Pancetti Context triple: [José Pancetti, name, José Pancetti]
-
A.
José Pancetti
chosen
José Pancetti was a prominent Brazilian modernist painter best known for his seascapes and contributions to 20th-century Brazilian art.
-
B.
Arsenio
Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
-
C.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
-
D.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
E.
Antonio Trashorras
Antonio Trashorras is a Spanish screenwriter best known for his work in horror cinema, including co-writing Guillermo del Toro’s acclaimed film "The Devil’s Backbone."
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3cffb08190a764a404a4ce5812 |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e4184a708190a9e4fe8453463a4b |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.