Triple
T19400394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abuela Claudia |
E485305
|
entity |
| Predicate | broadwayPortrayedBy |
P88297
|
FINISHED |
| Object | Olga Merediz |
—
|
NE NERFINISHED |
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: Olga Merediz | Statement: [Abuela Claudia, broadwayPortrayedBy, Olga Merediz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Merediz Context triple: [Abuela Claudia, broadwayPortrayedBy, Olga Merediz]
-
A.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
B.
Rosaura De la Garza
Rosaura De la Garza is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as the dutiful yet conflicted daughter who embodies traditional expectations and rivalry within the De la Garza family.
-
C.
Maria Gonzales
Maria Gonzales is a fictional character featured in the narrative of Code 46.
-
D.
Esperanza Villalobos
Esperanza Villalobos is a central character in the sitcom "The Knights of Prosperity," known for being part of a quirky group plotting to rob a celebrity.
-
E.
Maria Gonzalez
Maria Gonzalez is known as the spouse of Academy Award–winning film editor Stephen Mirrione.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olga Merediz Target entity description: Olga Merediz is a Tony-nominated American actress and singer best known for originating the role of Abuela Claudia in the Broadway musical "In the Heights" and reprising it in the film adaptation.
-
A.
Yolanda Magaña
Yolanda Magaña is a person notable enough to be recognized as a significant bearer of the surname Magaña.
-
B.
Rosaura De la Garza
Rosaura De la Garza is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as the dutiful yet conflicted daughter who embodies traditional expectations and rivalry within the De la Garza family.
-
C.
Maria Gonzales
Maria Gonzales is a fictional character featured in the narrative of Code 46.
-
D.
Esperanza Villalobos
Esperanza Villalobos is a central character in the sitcom "The Knights of Prosperity," known for being part of a quirky group plotting to rob a celebrity.
-
E.
Maria Gonzalez
Maria Gonzalez is known as the spouse of Academy Award–winning film editor Stephen Mirrione.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadwayPortrayedBy Context triple: [Abuela Claudia, broadwayPortrayedBy, Olga Merediz]
-
A.
portrayedInBroadwayProductionBy
chosen
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
B.
originalBroadwayStar
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
C.
originalBroadwayCoStar
Indicates that two performers appeared together as co-stars in the original Broadway production of the same show.
-
D.
broadwayLeadActor
Indicates that the subject is the principal or starring actor in a Broadway production associated with the object.
-
E.
producedOnBroadwayBy
Indicates that a theatrical production was staged on Broadway under the responsibility or auspices of a specific producer or producing entity.
- F. None of above.
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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257692508190b658928e224d72d7 |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.