Triple
T22354369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon |
E552612
|
entity |
| Predicate | facesConflictBetween |
P47733
|
FINISHED |
| Object | traditional family expectations and sexual 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: traditional family expectations and sexual identity | Statement: [Simon, facesConflictBetween, traditional family expectations and sexual identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facesConflictBetween Context triple: [Simon, facesConflictBetween, traditional family expectations and sexual identity]
-
A.
facesConflictWith
Indicates that one entity is in opposition, dispute, or contention with another, involving incompatible goals, interests, or actions.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
facedConflictOver
Indicates that two or more entities experienced opposition, dispute, or tension concerning a particular issue, resource, or situation.
-
D.
conflictedBetween
chosen
Indicates being torn or uncertain between two or more options, positions, or commitments.
-
E.
framesConflictAs
Indicates that one entity presents or interprets a situation, issue, or interaction specifically in terms of conflict or opposition between parties.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ceb2308190941f6507e605a612 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.