Triple

T23730035
Position Surface form Disambiguated ID Type / Status
Subject Factotum E586385 entity
Predicate followsCharacterThrough P153735 FINISHED
Object series of menial jobs 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: series of menial jobs | Statement: [Factotum, followsCharacterThrough, series of menial jobs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsCharacterThrough
Context triple: [Factotum, followsCharacterThrough, series of menial jobs]
  • A. followsCharacterTo
    Indicates that one character moves after or in pursuit of another character to a particular location or destination.
  • B. followsCharacterFrom
    Indicates that one character moves or proceeds behind another character, maintaining a trailing or pursuing position relative to them.
  • C. followsCharacter
    Indicates that one character moves or acts after another character, maintaining a trailing or subsequent position or sequence relative to them.
  • D. followsCharactersAcross
    Indicates that one entity persistently tracks or accompanies specific characters as they move or act across different scenes, locations, or contexts.
  • E. followsCharacterWhoIs
    Indicates that one character consistently trails, pursues, or comes after another character who has a specified property or role.
  • F. None of above. chosen

Provenance (4 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_69e24907dc9c8190be074c9c96a0ec2d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b9180bf48190a6c3656ef0530463 completed April 29, 2026, 7:54 a.m.
PD Predicate disambiguation batch_69f155e4b1148190836ede4741dcb888 completed April 29, 2026, 12:50 a.m.
PDg Predicate description generation batch_69f15b453da88190889a8d9b21727958 completed April 29, 2026, 1:13 a.m.
Created at: April 17, 2026, 7:09 p.m.