Triple
T3250667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudio Brook |
E68168
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Claudio Brook |
E68168
|
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: Claudio Brook | Statement: [Claudio Brook, name, Claudio Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudio Brook Context triple: [Claudio Brook, name, Claudio Brook]
-
A.
Claudio Brook
chosen
Claudio Brook was a Mexican actor known for his work in both Mexican cinema and international films, including collaborations with director Luis Buñuel.
-
B.
Marcos Troyjo
Marcos Troyjo is a Brazilian economist, diplomat, and former government official known for his leadership in international development and global economic policy.
-
C.
Claudio Miranda
Claudio Miranda is an acclaimed Chilean-born cinematographer best known for his Oscar-winning visual work on films such as "Life of Pi."
-
D.
César Baldaccini
César Baldaccini, commonly known simply as César, was a prominent 20th-century French sculptor famed for his innovative use of compressed materials and his influential role in the Nouveau Réalisme movement.
-
E.
Marcelo Zarvos
Marcelo Zarvos is a Brazilian-born composer known for his evocative film and television scores across a wide range of dramas and independent films.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf40f7908190a450c3136fccb020 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ec4375881908d7f22ef4a80b60c |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:09 p.m.