Triple
T11581316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapuso Mo, Jessica Soho |
E274631
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object | Jessica Soho |
E935919
|
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: Jessica Soho | Statement: [Kapuso Mo, Jessica Soho, host, Jessica Soho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Soho Context triple: [Kapuso Mo, Jessica Soho, host, Jessica Soho]
-
A.
Jessica Soho
chosen
Jessica Soho is a prominent Filipino broadcast journalist and television news anchor renowned for her in-depth documentaries and long-running public affairs programs.
-
B.
Laura Harrier
Laura Harrier is an American actress and model best known for her roles in films like "Spider-Man: Homecoming" and "BlacKkKlansman."
-
C.
Lauren Wando
Lauren Wando is a character in the disaster film "Dante's Peak," depicted as one of the children caught in the volcanic catastrophe threatening the town.
-
D.
Veanne Cox
Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
-
E.
Angelica Ross
Angelica Ross is an American actress, producer, and transgender rights advocate best known for her groundbreaking roles in series like "Pose" and "American Horror Story."
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86cbd7988190a4960c5abbbf03a2 |
completed | April 26, 2026, 9:42 p.m. |
Created at: April 8, 2026, 9:38 p.m.