Triple

T19882041
Position Surface form Disambiguated ID Type / Status
Subject Nestor (Ulysses episode) E477797 entity
Predicate internalChronology P93808 FINISHED
Object immediately after events of Telemachus episode 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: immediately after events of Telemachus episode | Statement: [Nestor (Ulysses episode), internalChronology, immediately after events of Telemachus episode]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: internalChronology
Context triple: [Nestor (Ulysses episode), internalChronology, immediately after events of Telemachus episode]
  • A. involvesChronology
    Indicates that the relationship or action explicitly depends on, references, or organizes events according to their order or position in time.
  • B. relativeChronology chosen
    Indicates a temporal ordering relationship that specifies how one event or state is positioned in time relative to another (e.g., earlier, later, or overlapping).
  • C. chronologyType
    Indicates the type or system of chronological ordering or dating applied to an event, period, or sequence.
  • D. chronologyUsedBy
    Indicates that a particular system, method, or scheme of chronological ordering is employed or adopted by a given entity.
  • E. chronologyOf
    Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658df3f5c81909b5b290de91b8d50 completed April 20, 2026, 4:48 p.m.
PD Predicate disambiguation batch_69e537e8c4e481909fe95d795b4864e7 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.