Triple
T21952112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremiah Johnson |
E542093
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Joaquin Martinez |
—
|
NE NERFINISHED |
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: Joaquin Martinez | Statement: [Jeremiah Johnson, starring, Joaquin Martinez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joaquin Martinez Context triple: [Jeremiah Johnson, starring, Joaquin Martinez]
-
A.
Joaquín Martínez
chosen
Joaquín Martínez was a Mexican actor known for his character roles in American Western films and television during the 1960s and 1970s.
-
B.
Joaquin Miguel Elizalde
Joaquin Miguel Elizalde was a prominent Filipino diplomat and businessman who became the first Philippine ambassador to the United States following the country’s independence.
-
C.
Roberto Muzquiz
Roberto Muzquiz is the child of Rosaura De la Garza, a member of her immediate family.
-
D.
Óscar Magaña
Óscar Magaña is a notable individual who carries the surname Magaña, recognized for achievements that distinguish him among bearers of the name.
-
E.
Isaac Garza
Isaac Garza was a Mexican businessman and industrialist best known as a founding figure behind the conglomerate that evolved into FEMSA, one of Latin America’s largest beverage and retail companies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.