Triple

T32966419
Position Surface form Disambiguated ID Type / Status
Subject Pamphile E843382 entity
Predicate moralStatusInWork P78223 FINISHED
Object sympathetic character 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: sympathetic character | Statement: [Pamphile, moralStatusInWork, sympathetic character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralStatusInWork
Context triple: [Pamphile, moralStatusInWork, sympathetic character]
  • A. moralPositionInWork chosen
    Indicates the moral or ethical stance that an entity holds or expresses within a particular work (such as a text, artwork, or performance).
  • B. moralStatus
    Indicates the ethical standing or degree of moral consideration that one entity has in relation to another.
  • C. moralAttitude
    Indicates a subject’s evaluative stance or judgment about the moral rightness or wrongness of another entity, action, or situation.
  • D. hasMoralCode
    Indicates that an entity adheres to or is guided by a set of moral principles or ethical rules.
  • E. moralOutcome
    Indicates the moral or ethical status resulting from an action, event, or decision, such as whether it is judged right, wrong, good, or bad.
  • 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_69f3494af2808190ad98cec2f1bc0fe6 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1a24e888190921a70d77cf06a05 completed May 3, 2026, 4:40 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:21 a.m.