Triple
T8575980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Peña |
E203047
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Brie Shaffer
Brie Shaffer is an American screenwriter and actress best known for her work behind the scenes and for being married to actor Michael Peña.
|
E758784
|
NE FINISHED |
How this triple was built (4 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: Brie Shaffer | Statement: [Michael Peña, spouse, Brie Shaffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brie Shaffer Context triple: [Michael Peña, spouse, Brie Shaffer]
-
A.
Teaira McCowan
Teaira McCowan is an American professional basketball center in the WNBA known for her dominant interior presence, rebounding, and shot-blocking ability.
-
B.
Shauneen Bruder
Shauneen Bruder is a Canadian business leader and executive who has served as chancellor of the University of Guelph.
-
C.
Katie Luber
Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
-
D.
Kelsey Burrell
Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
-
E.
Breanne Racano
Breanne Racano is an American actress and podcast host best known for her work in television and her marriage to actor Jerry Ferrara.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brie Shaffer Triple: [Michael Peña, spouse, Brie Shaffer]
Generated description
Brie Shaffer is an American screenwriter and actress best known for her work behind the scenes and for being married to actor Michael Peña.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brie Shaffer Target entity description: Brie Shaffer is an American screenwriter and actress best known for her work behind the scenes and for being married to actor Michael Peña.
-
A.
Teaira McCowan
Teaira McCowan is an American professional basketball center in the WNBA known for her dominant interior presence, rebounding, and shot-blocking ability.
-
B.
Shauneen Bruder
Shauneen Bruder is a Canadian business leader and executive who has served as chancellor of the University of Guelph.
-
C.
Katie Luber
Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
-
D.
Kelsey Burrell
Kelsey Burrell is known as the child of the Jamaican-American reggae fusion singer and rapper Shaggy.
-
E.
Breanne Racano
Breanne Racano is an American actress and podcast host best known for her work in television and her marriage to actor Jerry Ferrara.
- F. None of above. chosen
Provenance (5 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9638c081909a537cc44e485bee |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6ea4fadc8190ade74e4fdf890056 |
completed | April 3, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_69cf7041b6bc81909924d1382b756746 |
completed | April 3, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf714f22c48190a192c6fc32debfd6 |
completed | April 3, 2026, 7:50 a.m. |
Created at: March 30, 2026, 6:21 p.m.