Triple
T32945903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Hunterson |
E842798
|
entity |
| Predicate | resolvesArcBy |
P172650
|
FINISHED |
| Object | deciding to raise her daughter on her own |
—
|
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: deciding to raise her daughter on her own | Statement: [Jenna Hunterson, resolvesArcBy, deciding to raise her daughter on her own]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resolvesArcBy Context triple: [Jenna Hunterson, resolvesArcBy, deciding to raise her daughter on her own]
-
A.
resolutionOfArc
Indicates the degree of detail or fineness with which an arc is represented or approximated in a geometric or graphical context.
-
B.
resolutionArc
chosen
Indicates the narrative process or sequence of events through which a conflict, tension, or problem is brought to a conclusion or resolved.
-
C.
undergoesArc
Indicates that an entity is subjected to or experiences a specific arc process, transformation, or phase.
-
D.
hasArc
Indicates that there is a directed connection or edge from one entity to another, often representing a link in a graph or network.
-
E.
formsArcOf
Indicates that one entity curves around or spans between points so as to create an arc in relation to 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d14056688190a07663ccfbbc4086 |
completed | May 3, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.