Triple
T17767540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haddie Braverman |
E443546
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Sarah Ramos |
—
|
NE NERFINISHED |
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: Sarah Ramos | Statement: [Haddie Braverman, portrayedBy, Sarah Ramos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Ramos Context triple: [Haddie Braverman, portrayedBy, Sarah Ramos]
-
A.
Sarah Ramos
chosen
Sarah Ramos is an American actress best known for her role as Haddie Braverman on the television drama series "Parenthood."
-
B.
Marisa Ramirez
Marisa Ramirez is an American actress best known for her role as Detective Maria Baez on the television series "Blue Bloods."
-
C.
Ruby Rodriguez
Ruby Rodriguez is a Filipino television host and comedian best known for her long-running role on the variety show "Eat Bulaga!"
-
D.
Yolanda Ramos
Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
-
E.
Emily Galindo
Emily Galindo is an individual known primarily as an alias or alternate name for Emily Thomas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.