Triple
T26975251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paroma |
E679433
|
entity |
| Predicate | directedByWoman |
P143945
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Paroma, directedByWoman, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directedByWoman Context triple: [Paroma, directedByWoman, true]
-
A.
hasDirectorGender
chosen
Indicates that an entity has a director whose gender is specified by the related value.
-
B.
isDirectedBy
Indicates that one entity serves as the director or guiding authority responsible for the creation, management, or execution of another entity (such as a film, project, or organization).
-
C.
strategyDirectedBy
Indicates that the development, implementation, or oversight of a strategy is guided or controlled by a specified directing entity.
-
D.
directedIn
Indicates that one entity served as the director of another entity, such as a person directing a film, episode, or similar work.
-
E.
intendedDirector
Indicates that one entity is designated or planned to serve as the director of another entity, such as a project, film, or organization.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 6:42 a.m.