Triple
T15165657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple on Time |
E362332
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Adam Vida |
E362328
|
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: Adam Vida | Statement: [Purple on Time, performer, Adam Vida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adam Vida Context triple: [Purple on Time, performer, Adam Vida]
-
A.
Adam Vida
chosen
Adam Vida is an American musician best known as a member of the experimental rock band U.S. Maple.
-
B.
Marco Velez
Marco Vélez is a Puerto Rican former professional footballer and coach known for managing Puerto Rico FC and representing Puerto Rico’s national team as a defender.
-
C.
Gabriel Valenzuela
Gabriel Valenzuela is a Colombian actor and model known for his roles in telenovelas and Latin American television.
-
D.
Gabriel Villa
Gabriel Villa is a musician best known as a member of the Los Angeles-based psychedelic soul band Chicano Batman.
-
E.
Luke Alvez
Luke Alvez is a former Army Ranger and FBI agent who joins the Behavioral Analysis Unit as a main profiler in the television series "Criminal Minds."
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32637748190b566602b5b37fbd3 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:08 a.m.