Triple
T26736234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 79th NAACP Image Awards (director) |
E674116
|
entity |
| Predicate | hasDirectorCitizenship |
P22097
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [The 79th NAACP Image Awards (director), hasDirectorCitizenship, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectorCitizenship Context triple: [The 79th NAACP Image Awards (director), hasDirectorCitizenship, United States]
-
A.
hasDirectorNationality
chosen
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
B.
hasCinematographerNationality
Indicates that a cinematographer is associated with a specific nationality.
-
C.
hasCrewNationality
Indicates that the members of a crew possess a specified nationality.
-
D.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
E.
hasBiographicalSubjectCitizenship
Indicates that the biographical subject holds or has held citizenship in the specified country or political entity.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 3:47 a.m.