Triple
T23761731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amai Zackary Wayans |
E587266
|
entity |
| Predicate | hasPublicDiscussionAbout |
P82614
|
FINISHED |
| Object | LGBTQ+ identity |
—
|
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: LGBTQ+ identity | Statement: [Amai Zackary Wayans, hasPublicDiscussionAbout, LGBTQ+ identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicDiscussionAbout Context triple: [Amai Zackary Wayans, hasPublicDiscussionAbout, LGBTQ+ identity]
-
A.
hasDebateAround
Indicates that there is ongoing discussion, disagreement, or controversy surrounding the referenced entity or topic.
-
B.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
C.
containsDiscussionOf
Indicates that one entity includes or features a discussion, treatment, or consideration of another entity as a topic or subject.
-
D.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
E.
discussionPublic
chosen
Indicates that a discussion is accessible to the general public rather than being restricted or private.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb34d5c81909087385066a52e61 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.