Triple
T16044563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Roth |
E389182
|
entity |
| Predicate | initialCharacterArcState |
P36856
|
FINISHED |
| Object | afraid of long-term commitment |
—
|
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: afraid of long-term commitment | Statement: [Henry Roth, initialCharacterArcState, afraid of long-term commitment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialCharacterArcState Context triple: [Henry Roth, initialCharacterArcState, afraid of long-term commitment]
-
A.
protagonistStatusAtStart
Indicates the role or condition the main character is in at the beginning of the narrative or event.
-
B.
initialStatus
Indicates the original or starting state assigned to an entity before any changes or updates occur.
-
C.
initialCharacterization
Indicates the first or earliest formal description, assessment, or classification made about an entity or situation.
-
D.
characterArcElement
chosen
Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
-
E.
titleCharacterState
Indicates the state or condition a character is in within the context of a specific title or work.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.