Triple
T20168678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy Horse |
E491895
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Ralph Molina |
—
|
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: Ralph Molina | Statement: [Crazy Horse, member, Ralph Molina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Molina Context triple: [Crazy Horse, member, Ralph Molina]
-
A.
Ralph Molina
chosen
Ralph Molina is an American drummer best known as a longtime member of Neil Young's backing band Crazy Horse.
-
B.
Ronald dela Rosa
Ronald dela Rosa is a Filipino politician and former chief of the Philippine National Police who became widely known for leading President Rodrigo Duterte’s controversial war on drugs.
-
C.
Ralph DLG Torres
Ralph DLG Torres is a Northern Mariana Islands politician who served as governor and previously as lieutenant governor of the U.S. Commonwealth.
-
D.
Joe M. Aguilar
Joe M. Aguilar is a film producer best known for his work on the animated feature "Puss in Boots."
-
E.
Eduardo Mendoza
Eduardo Mendoza is a renowned Spanish novelist celebrated for his humorous and satirical works, and regarded as one of the leading contemporary voices in Spanish literature.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66846f4ec81908b0dc6a6e0ec27dd |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.