Triple

T1869142
Position Surface form Disambiguated ID Type / Status
Subject Eve Harrington E34992 entity
Predicate risesIn P33275 FINISHED
Object theatre world 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: theatre world | Statement: [Eve Harrington, risesIn, theatre world]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: risesIn
Context triple: [Eve Harrington, risesIn, theatre world]
  • A. increases
    Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
  • B. firstIncreaseIn
    Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
  • C. raisedFrom
    Indicates that one entity has been elevated, derived, or brought up from another prior state, source, or condition.
  • D. raisedDuring
    Indicates that one entity was brought up, nurtured, or developed within the time period or circumstances defined by another entity.
  • E. reaches
    Indicates that one entity extends or moves until it makes contact with, attains, or arrives at another entity or point.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb16c09e48190a345c95eab59fd87 completed March 7, 2026, 5:02 a.m.
PD Predicate disambiguation batch_69abafe02c3c819093a4744b476106ca completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb16a6db48190af04012e8ed2269f completed March 7, 2026, 5:02 a.m.
Created at: March 4, 2026, 7:34 p.m.