Triple
T9293265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exterminating Angel |
E223572
|
entity |
| Predicate | castMember |
P1668
|
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: [The Exterminating Angel, castMember, Claudio Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudio Brook Context triple: [The Exterminating Angel, castMember, 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.
Luis Krahl
Luis Krahl is a mountaineer known for making the first recorded ascent of Cerro San Valentín, the highest peak in Chilean Patagonia.
-
C.
Marcos Troyjo
Marcos Troyjo is a Brazilian economist, diplomat, and former government official known for his leadership in international development and global economic policy.
-
D.
Luís Goes
Luís Goes was a prominent Portuguese singer renowned for his interpretations of Coimbra fado, contributing significantly to the genre’s popularity and refinement in the 20th century.
-
E.
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."
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0898b3288190a627a58bfd9c57fe |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b241251c81909aa4e8bcf5cd9c2e |
completed | April 4, 2026, 6:40 a.m. |
Created at: March 30, 2026, 7:35 p.m.