Triple

T20526828
Position Surface form Disambiguated ID Type / Status
Subject Oronte E503957 entity
Predicate sensitivityAbout P59822 FINISHED
Object his reputation as a poet 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: his reputation as a poet | Statement: [Oronte, sensitivityAbout, his reputation as a poet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sensitivityAbout
Context triple: [Oronte, sensitivityAbout, his reputation as a poet]
  • A. sensitivityFeature
    Indicates a relationship where one entity functions as a sensitivity-related characteristic, parameter, or attribute of another entity.
  • B. lessSensitiveTo
    Indicates that one entity exhibits a lower degree of responsiveness or susceptibility to another entity or factor compared to a reference level.
  • C. sensitivityRegion
    Indicates the specific area or domain within which a subject is particularly responsive, vulnerable, or reactive to a given influence or condition.
  • D. caresMoreAbout chosen
    Indicates that one entity has a stronger level of concern, interest, or emotional investment in another entity or thing than in some alternative reference.
  • E. isSympatheticTo
    Indicates that one entity feels or expresses compassion, understanding, or emotional support toward 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a066402081909dd53830eb637ad0 completed April 20, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69e59fdb7ad88190924176c32a195db3 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:37 a.m.