Triple
T14514240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El ángel exterminador |
E340475
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Rosa Elena Durgel |
E789827
|
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: Rosa Elena Durgel | Statement: [El ángel exterminador, castMember, Rosa Elena Durgel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosa Elena Durgel Context triple: [El ángel exterminador, castMember, Rosa Elena Durgel]
-
A.
Rosa Elena Durgel
chosen
Rosa Elena Durgel was a Mexican actress known for her role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
-
B.
Margarita de Luria
Margarita de Luria was the wife of the renowned 13th-century Aragonese admiral Roger of Lauria.
-
C.
Rufina Gurevich
Rufina Gurevich is a mathematician known for her work in areas influenced by Lev Pontryagin’s contributions to topology and control theory.
-
D.
María Corda
María Corda was a prominent Hungarian silent film actress of the 1920s, known for her glamorous screen presence and leading roles in European and early Hollywood cinema.
-
E.
Ludmila Bragina
Ludmila Bragina is a former Soviet middle-distance runner best known for winning Olympic gold and setting multiple world records in the 1500 metres in the early 1970s.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd6c0dc8190847a887ae51c6c5b |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:21 a.m.