Triple
T16198147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Hickey |
E393122
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Greg Garcia |
E354821
|
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: Greg Garcia | Statement: [Earl Hickey, creator, Greg Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Garcia Context triple: [Earl Hickey, creator, Greg Garcia]
-
A.
Greg Garcia
chosen
Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
-
B.
George García
George García is the imaginative and often awkward youngest brother whose coming-of-age experiences anchor the family-centered sitcom "The Brothers García."
-
C.
Joe Garza
Joe Garza is a relatively obscure individual whose name is shared with several people, including professionals in fields such as law, politics, and the arts.
-
D.
Jonathan Salas
Jonathan Salas is a musician best known for his brief tenure as a guitarist with the Christian rock band Skillet.
-
E.
Jorge Garcia
Jorge Garcia is an American actor and comedian best known for his role as Hugo "Hurley" Reyes on the television series Lost.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222dc6b1c8190a3d8a6451ed8b95a |
completed | April 17, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecf454081909660f4ab9c556ddc |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.