Triple
T14658643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bamba |
E344176
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Esai Morales |
E393307
|
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: Esai Morales | Statement: [La Bamba, stars, Esai Morales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esai Morales Context triple: [La Bamba, stars, Esai Morales]
-
A.
Esai Morales
chosen
Esai Morales is an American actor known for his versatile roles in film and television, including prominent performances in series like NYPD Blue, Ozark, and Titans.
-
B.
Robert Morales
Robert Morales was an American writer and editor best known in comics for co-creating the character Isaiah Bradley in Marvel's "Truth: Red, White & Black."
-
C.
Carlos Mencia
Carlos Mencia is a Honduran-American comedian and actor best known for his stand-up work and his Comedy Central show "Mind of Mencia."
-
D.
David Morales
David Morales is an influential American DJ and Grammy-winning house music producer known for his remixes and work with major pop and dance artists.
-
E.
Daniel Morales
Daniel Morales is the reckless yet highly skilled Marseille taxi driver and protagonist of the French action-comedy Taxi film series.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff677b7be08190afc2767835836908 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:27 a.m.