Triple

T36600454
Position Surface form Disambiguated ID Type / Status
Subject CLEOPATRA E902899 entity
Predicate showedBenefit P2188 FINISHED
Object improved progression-free survival with pertuzumab combination 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: improved progression-free survival with pertuzumab combination | Statement: [CLEOPATRA, showedBenefit, improved progression-free survival with pertuzumab combination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showedBenefit
Context triple: [CLEOPATRA, showedBenefit, improved progression-free survival with pertuzumab combination]
  • A. believedBenefit
    Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
  • B. benefice
    Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
  • C. hasBenefit chosen
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • D. primaryBenefit
    Indicates that one entity serves as the main or most important advantage, gain, or positive outcome associated with another entity.
  • E. benefitCharacteristic
    Indicates that one entity possesses a quality or feature that provides an advantage, usefulness, or positive effect to 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69f7c1baf25c8190a78dd54a400d2c50 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.