Triple
T30243936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobody (2021 film) score |
E769001
|
entity |
| Predicate | associatedFilmCountry |
P41843
|
FINISHED |
| Object | United States |
E14
|
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: United States | Statement: [Nobody (2021 film) score, associatedFilmCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedFilmCountry Context triple: [Nobody (2021 film) score, associatedFilmCountry, United States]
-
A.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
B.
characterInFilmCountryOfOrigin
Indicates that a character appearing in a film is associated with the country where that film originated or was produced.
-
C.
filmCountryOfOrigin
chosen
Indicates the country where a film was originally produced or created.
-
D.
associatedActNationality
Indicates that an act, event, or action is connected to or characterized by a particular nationality.
-
E.
filmStudioCountry
Indicates the country in which a film studio is based or primarily operates.
- F. None of above.
Provenance (4 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a276426f5b8819090ed6ac27b4482fa |
completed | June 9, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7:39 p.m.