Triple
T12333565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy/Beautiful |
E294022
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jay Hernandez |
E258552
|
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: Jay Hernandez | Statement: [Crazy/Beautiful, starring, Jay Hernandez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Hernandez Context triple: [Crazy/Beautiful, starring, Jay Hernandez]
-
A.
Jay Hernandez
chosen
Jay Hernandez is an American actor known for roles in films like "Hostel" and the TV series "Magnum P.I.," as well as voice work in animated features.
-
B.
Greg Reyes
Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
-
C.
Josh Ramos
Josh Ramos is a professional soccer player known for playing as a forward in the Canadian Premier League.
-
D.
Josh Ramos
Josh Ramos is a member of the Canadian hardcore punk band Hardline.
-
E.
Juano Hernandez
Juano Hernandez was a pioneering Afro-Puerto Rican actor known for his powerful performances in mid-20th-century American cinema and for breaking racial barriers in Hollywood.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f64ad20819080d99e57833b4b51 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a114ccc81909bc428c40c01a461 |
completed | May 3, 2026, 8:40 a.m. |
Created at: April 8, 2026, 9:53 p.m.