Triple
T15063851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Steel |
E379704
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Elizabeth Peña |
E236506
|
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: Elizabeth Peña | Statement: [Blue Steel, starring, Elizabeth Peña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Peña Context triple: [Blue Steel, starring, Elizabeth Peña]
-
A.
Elizabeth Peña
chosen
Elizabeth Peña was an American actress known for her versatile film and television roles, including voicing the character Mirage in Pixar’s animated film "The Incredibles."
-
B.
Guadalupe Rodríguez
Guadalupe Rodríguez is best known as the mother of American singer, actress, and entertainer Jennifer Lopez.
-
C.
Giovanna Ferrer
Giovanna Ferrer is the wife of Sean Hepburn Ferrer, the son of actress Audrey Hepburn and actor Mel Ferrer.
-
D.
Liza Colón-Zayas
Liza Colón-Zayas is an American actress and playwright known for her powerful stage work and television roles, including her performance in the acclaimed drama series "In Treatment."
-
E.
Eva Cárdenas
Eva Cárdenas is a Spanish businesswoman known for her long-term relationship with politician Alberto Núñez Feijóo and her work in the corporate and design sectors.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5e2b2188190b96807ca6442fb01 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:02 a.m.