Triple
T11537446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonewall Inn |
E273585
|
entity |
| Predicate | patronGroup |
P61730
|
FINISHED |
| Object | gay men |
—
|
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: gay men | Statement: [Stonewall Inn, patronGroup, gay men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patronGroup Context triple: [Stonewall Inn, patronGroup, gay men]
-
A.
patronType
Indicates the classification or category of a patron in relation to a service, institution, or resource.
-
B.
typeOfPatronage
Indicates the specific kind or category of support, sponsorship, or backing that one entity provides to another.
-
C.
participantGroup
chosen
Indicates a relationship in which a set or group of entities jointly participate in a common event, activity, or interaction.
-
D.
patronState
Indicates a relationship where one state acts as a protector, sponsor, or dominant supporter of another state or political entity.
-
E.
usedAsPatronOf
Indicates that one entity serves as a patron or sponsor for another, providing support, endorsement, or backing.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839cdf688190ae75c0e6fece8e33 |
completed | April 10, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.