Triple
T15787384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Marion Tarwater |
E382771
|
entity |
| Predicate | hasInternalStruggle |
P76866
|
FINISHED |
| Object | struggle with faith |
—
|
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: struggle with faith | Statement: [Francis Marion Tarwater, hasInternalStruggle, struggle with faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternalStruggle Context triple: [Francis Marion Tarwater, hasInternalStruggle, struggle with faith]
-
A.
associatedWithStruggle
Indicates a relationship in which an entity is connected to, involved in, or characterized by a particular struggle, conflict, or hardship.
-
B.
hasMoralConflictAbout
chosen
Indicates that an entity experiences internal ethical tension, doubt, or disagreement regarding another entity, action, or situation.
-
C.
engagesInCyclicalStruggleWith
Indicates a relationship in which two entities are locked in a recurring, back-and-forth conflict or opposition that repeats over time.
-
D.
notableStruggles
Indicates that the subject has faced significant challenges, difficulties, or adversities that are especially noteworthy or defining.
-
E.
hasCauseOfConflict
Indicates a relationship where one entity is the source or reason for a conflict 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.