Triple
T31085051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delilah Johnson |
E792207
|
entity |
| Predicate | narrativeConflictWith |
P176713
|
FINISHED |
| Object | Peola Johnson |
—
|
NE NERFINISHED |
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: Peola Johnson | Statement: [Delilah Johnson, narrativeConflictWith, Peola Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeConflictWith Context triple: [Delilah Johnson, narrativeConflictWith, Peola Johnson]
-
A.
storyConflict
Indicates a relationship where a story contains or centers around a central problem, opposition, or tension that drives its plot.
-
B.
fictionalConflict
chosen
Indicates a relationship where one fictional entity is in opposition, dispute, or struggle with another within a narrative context.
-
C.
storyConflictSource
Indicates the source or cause from which a story’s central conflict arises.
-
D.
mainConflict
Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
-
E.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 29, 2026, 9:02 p.m.