Triple
T16572901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaya Wade |
E402632
|
entity |
| Predicate | inspiredDiscussionOn |
P9239
|
FINISHED |
| Object | parental support for transgender children |
—
|
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: parental support for transgender children | Statement: [Zaya Wade, inspiredDiscussionOn, parental support for transgender children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredDiscussionOn Context triple: [Zaya Wade, inspiredDiscussionOn, parental support for transgender children]
-
A.
influencedDiscussionOf
chosen
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
B.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
C.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
D.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
E.
discussionsTo
Indicates a relationship in which one entity leads to, results in, or gives rise to discussions involving another entity.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595ab9dc81909b774f6d9c17d6dd |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.