Triple
T14599740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candy Shop |
E342668
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Jessy Terrero |
E369334
|
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: Jessy Terrero | Statement: [Candy Shop, musicVideoDirector, Jessy Terrero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessy Terrero Context triple: [Candy Shop, musicVideoDirector, Jessy Terrero]
-
A.
Jessy Terrero
chosen
Jessy Terrero is a Dominican-American film and music video director known for his work on hip-hop and reggaeton videos as well as feature films.
-
B.
Dascha Polanco
Dascha Polanco is a Dominican-American actress best known for her role as Dayanara Diaz on the Netflix series "Orange Is the New Black."
-
C.
Jossalyn Romo
Jossalyn Romo is known as the sister of former Dallas Cowboys quarterback and NFL broadcaster Tony Romo.
-
D.
Tatiana Gutierrez
Tatiana Gutierrez is a recurring nurse character in The Evil Within survival horror video game series, serving as a mysterious guide and save-point attendant for the protagonist within the STEM world.
-
E.
Otmara Marrero
Otmara Marrero is an American actress best known for her leading role as Izzy Morales in the television series "StartUp."
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24a4ceb081908535585175832534 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:25 a.m.