Triple
T35746905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Démantèlement |
E1033206
|
entity |
| Predicate | hasNationalityOfCastMajority |
P198680
|
FINISHED |
| Object | Canadian |
—
|
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: Canadian | Statement: [Le Démantèlement, hasNationalityOfCastMajority, Canadian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalityOfCastMajority Context triple: [Le Démantèlement, hasNationalityOfCastMajority, Canadian]
-
A.
hasCastMemberNationality
chosen
Indicates that at least one cast member of a work has the specified nationality.
-
B.
majorityCitizenship
Indicates that one citizenship or nationality constitutes the largest share of an entity’s members or population compared to all other citizenships.
-
C.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
D.
hasLeadActorNationality
Indicates that the nationality of the lead actor in a work is a specified country or nationality.
-
E.
hasOfficialLanguageMajority
Indicates that a specified language is spoken by the majority of the population within a given political or geographic 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_69f76e119d508190a3873cb302063832 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
Created at: May 3, 2026, 4:06 p.m.