Triple
T14656504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hombre (film) |
E344123
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Cicero Grimes |
E1112946
|
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: Cicero Grimes | Statement: [Hombre (film), character, Cicero Grimes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cicero Grimes Context triple: [Hombre (film), character, Cicero Grimes]
-
A.
Cicero Grimes
chosen
Cicero Grimes is a character from the Western film "Hombre," known for his role in the story’s tense frontier conflict.
-
B.
Virgil Hawkins
Virgil Hawkins is a DC Comics teenage superhero who gains electromagnetic powers and fights crime under the alias Static.
-
C.
Raymond Chambers
Raymond Chambers is an American philanthropist and businessman known for his work in global health initiatives and efforts to combat malaria.
-
D.
Cassius Green
Cassius Green is the ambitious young telemarketer protagonist of the satirical film "Sorry to Bother You," whose rise in a bizarre corporate world exposes themes of race, capitalism, and exploitation.
-
E.
Lester Cole
Lester Cole was an American screenwriter and one of the Hollywood Ten, blacklisted during the Red Scare for alleged communist affiliations.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51a562c819098971447db4b29f7 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17283608190a8351b366cac5e4f |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.