Triple
T32933919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander of the Order of the Defender of the Realm |
E842475
|
entity |
| Predicate | genderRestrictionForTitle |
P1805
|
FINISHED |
| Object | male recipients use Tan Sri |
—
|
NE NERFINISHED |
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: male recipients use Tan Sri | Statement: [Commander of the Order of the Defender of the Realm, genderRestrictionForTitle, male recipients use Tan Sri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genderRestrictionForTitle Context triple: [Commander of the Order of the Defender of the Realm, genderRestrictionForTitle, male recipients use Tan Sri]
-
A.
hasGenderedTitle
chosen
Indicates that an entity is associated with a title or form of address that is explicitly marked for a particular gender.
-
B.
titleHolderSex
Indicates the biological or identified sex of the person who holds a particular title.
-
C.
hasLeadCharacterGender
Indicates that the primary or lead character in a work has a specified gender.
-
D.
hasDirectorGender
Indicates that an entity has a director whose gender is specified by the related value.
-
E.
oppositeTitleByGender
Indicates that one title is the gender-based counterpart of another title (e.g., king/queen, actor/actress).
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d10722e88190bb59c5768ce23d43 |
completed | May 3, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.