Triple
T5822954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Crime |
E129152
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Benito Martinez |
E318330
|
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: Benito Martinez | Statement: [American Crime, stars, Benito Martinez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benito Martinez Context triple: [American Crime, stars, Benito Martinez]
-
A.
Benito Martinez
chosen
Benito Martinez is an American actor best known for his role as Captain David Aceveda on the television crime drama series "The Shield."
-
B.
Miguel Barragán
Miguel Barragán was a 19th-century Mexican politician and military leader who briefly served as president of Mexico during a period of intense political instability.
-
C.
Joaquin Antonio Consuelos
Joaquin Antonio Consuelos is the youngest son of television personalities Kelly Ripa and Mark Consuelos.
-
D.
Juan Alejandrez
Juan Alejandrez is a character in Laura Esquivel's novel "Like Water for Chocolate," known primarily as the husband of Gertrudis.
-
E.
José Castro
José Castro was a 19th-century Californio military leader and politician who played a prominent role in Mexican-era California before U.S. annexation.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0341715bc81909568b00ccc79869d |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a188e5c08190abbc283eff193761 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:53 p.m.