Triple
T15246030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse Garcia |
E364382
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jesse Garcia |
E364382
|
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: Jesse Garcia | Statement: [Jesse Garcia, name, Jesse Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Garcia Context triple: [Jesse Garcia, name, Jesse Garcia]
-
A.
Jesse Garcia
chosen
Jesse Garcia is an American actor known for his roles in film and television, including a leading part in the horror-crime series "From Dusk Till Dawn: The Series."
-
B.
Jesse Valenzuela
Jesse Valenzuela is an American musician and songwriter best known as a founding guitarist and vocalist for the alternative rock band Gin Blossoms.
-
C.
Jaime Garza
Jaime Garza is a Mexican actor best known for his work in telenovelas and films during the late 20th century.
-
D.
Jacob Vargas
Jacob Vargas is a Mexican-American actor known for his versatile roles in film and television, including notable performances in projects like "Traffic," "Selena," and "Jarhead."
-
E.
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.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd491cd881908bad9660af9b6b8f |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.