Triple
T31652621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surveyor of the King’s Pictures |
E807771
|
entity |
| Predicate | officeHolderTitleDependsOn |
P198240
|
FINISHED |
| Object | reigning monarch’s gender |
—
|
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: reigning monarch’s gender | Statement: [Surveyor of the King’s Pictures, officeHolderTitleDependsOn, reigning monarch’s gender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHolderTitleDependsOn Context triple: [Surveyor of the King’s Pictures, officeHolderTitleDependsOn, reigning monarch’s gender]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
officeHolderMayUseTitle
Indicates that a person who holds a particular office is permitted to use a specified official title.
-
C.
officeHolderMayBe
Indicates that a specified person is permitted or eligible to hold a particular office or position.
-
D.
officeHolderIs
Indicates that one entity serves as the office holder (e.g., official or position occupant) of another entity, such as an office, role, or institution.
-
E.
residenceOfOfficeHolderTitle
Indicates the place where a person holding a particular official title resides while in that role.
- F. None of above. chosen
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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
| PDg | Predicate description generation | batch_69fed48c92ec8190b3be88880d86de86 |
completed | May 9, 2026, 6:30 a.m. |
Created at: April 30, 2026, 10:53 p.m.