Triple
T24596978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for Viva Zapata! |
E608702
|
entity |
| Predicate | winnerCitizenship |
P122416
|
FINISHED |
| Object | Mexican-American |
—
|
LITERAL 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: Mexican-American | Statement: [Academy Award for Best Supporting Actor for Viva Zapata!, winnerCitizenship, Mexican-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerCitizenship Context triple: [Academy Award for Best Supporting Actor for Viva Zapata!, winnerCitizenship, Mexican-American]
-
A.
grantedCitizenshipBy
Indicates that one entity has officially conferred citizenship status upon another entity.
-
B.
leaderCitizenship
Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
-
C.
winnerEthnicity
chosen
Indicates the ethnic background or group to which the winner belongs.
-
D.
acquireCitizenshipBy
Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
-
E.
laterCitizenship
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
- F. None of above.
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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.