Triple
T22605988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana International |
E566557
|
entity |
| Predicate | LGBTStatus |
P40086
|
FINISHED |
| Object | openly transgender |
—
|
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: openly transgender | Statement: [Dana International, LGBTStatus, openly transgender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LGBTStatus Context triple: [Dana International, LGBTStatus, openly transgender]
-
A.
isOpenlyLGBT
chosen
Indicates that an entity publicly identifies as lesbian, gay, bisexual, transgender, or otherwise part of the LGBT community.
-
B.
LGBTWing
Indicates that an entity is a subgroup, faction, or organizational wing specifically focused on LGBT (lesbian, gay, bisexual, and transgender) issues or representation.
-
C.
hasLGBTTheme
Indicates that the subject includes, features, or centrally involves lesbian, gay, bisexual, or transgender themes or issues.
-
D.
isLGBTFamilyAdvocate
Indicates that an entity actively supports, promotes, or defends the rights and well-being of LGBT individuals and their families.
-
E.
publiclyIdentifiesAs
Indicates that an entity openly declares or presents themself to others as having a particular identity or role.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:54 p.m.