Triple
T10676956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 8 Million Ways to Die |
E251644
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Andy Garcia |
E52195
|
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: Andy Garcia | Statement: [8 Million Ways to Die, starring, Andy Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Garcia Context triple: [8 Million Ways to Die, starring, Andy Garcia]
-
A.
Andy García
chosen
Andy García is a Cuban-American actor and director renowned for his roles in films such as "The Godfather Part III," "Ocean's Eleven," and "The Untouchables."
-
B.
Luis Guzmán
Luis Guzmán is a Puerto Rican-American character actor known for his prolific work in film and television, often portraying tough, streetwise, or comedic supporting roles.
-
C.
Jorge Garcia
Jorge Garcia is an American actor and comedian best known for his role as Hugo "Hurley" Reyes on the television series Lost.
-
D.
Ian George
Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
-
E.
Greg Garcia
Greg Garcia is an American television writer and producer best known for creating the sitcom "My Name Is Earl."
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb9563908190a69cf4bd2c24fd2f |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9887e974c81908c4943339ea9a93f |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.