Triple
T13709469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Innocent Man |
E328730
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Gary Grubbs |
E527780
|
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: Gary Grubbs | Statement: [The Last Innocent Man, castMember, Gary Grubbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Grubbs Context triple: [The Last Innocent Man, castMember, Gary Grubbs]
-
A.
Gary Grubbs
chosen
Gary Grubbs is an American character actor known for his extensive work in film and television, often appearing in supporting roles across dramas and comedies.
-
B.
Gary Grice
Gary Grice, better known by his stage name GZA, is an American rapper, lyricist, and founding member of the influential hip hop group Wu-Tang Clan.
-
C.
Matt Graver
Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
-
D.
Jeff Graup
Jeff Graup is a film producer best known for his work on the 2013 thriller "The Call."
-
E.
Jeff Groth
Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06a3e208190a24e6cd9cb97e99c |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 9, 2026, 9:54 p.m.