Triple
T19842544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa Navia |
E476771
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Erica Ortegas |
—
|
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: Erica Ortegas | Statement: [Melissa Navia, characterPortrayed, Erica Ortegas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erica Ortegas Context triple: [Melissa Navia, characterPortrayed, Erica Ortegas]
-
A.
Erica Ortegas
chosen
Erica Ortegas is a witty and skilled helmsman of the USS Enterprise in the television series "Star Trek: Strange New Worlds."
-
B.
Erica Cornejo
Erica Cornejo is an Argentine ballet dancer known for her acclaimed performances as a principal with American Ballet Theatre and later with Boston Ballet.
-
C.
Emily Galindo
Emily Galindo is an individual known primarily as an alias or alternate name for Emily Thomas.
-
D.
Sofia Arreguin
Sofia Arreguin is a member of the creative collective or group known as Wand.
-
E.
Sofia Huerta
Sofia Huerta is a professional American soccer player and United States women’s national team defender known for her versatility and attacking contributions from the back line.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65806375c8190a4f45f14aeb06515 |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.