Triple
T19504842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Burset |
E487993
|
entity |
| Predicate | experiencesConflictAbout |
P72693
|
FINISHED |
| Object | Sophia Burset's gender transition |
—
|
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: Sophia Burset's gender transition | Statement: [Crystal Burset, experiencesConflictAbout, Sophia Burset's gender transition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: experiencesConflictAbout Context triple: [Crystal Burset, experiencesConflictAbout, Sophia Burset's gender transition]
-
A.
conflictExperience
Indicates that an entity has undergone or been involved in a conflict, such as a dispute, struggle, or confrontation.
-
B.
facedConflictOver
chosen
Indicates that two or more entities experienced opposition, dispute, or tension concerning a particular issue, resource, or situation.
-
C.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
D.
exploresConflictBetween
Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
-
E.
conflictDescribedIn
Indicates that a particular conflict is documented, detailed, or discussed within a specified information source or description.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.