Triple
T20121709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M (Judi Dench) |
E490623
|
entity |
| Predicate | supervisesOrganization |
P3706
|
FINISHED |
| Object | 00 Section |
—
|
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: 00 Section | Statement: [M (Judi Dench), supervisesOrganization, 00 Section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supervisesOrganization Context triple: [M (Judi Dench), supervisesOrganization, 00 Section]
-
A.
hasSupervisingOrganization
Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
-
B.
supervisesFor
Indicates that one entity oversees, directs, or manages the work, activities, or responsibilities of another entity on behalf of a third party or specific purpose.
-
C.
overseesOrganizationType
Indicates that one entity has supervisory or managerial authority over an organization of a specified type.
-
D.
controlledOrganization
chosen
Indicates that one entity has the authority to direct, manage, or significantly influence the operations and decisions of another organization.
-
E.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673e79dc81908fbd387c067fce79 |
completed | April 20, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e54cf788188190a46cc49c9ce7617f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:30 p.m.