Triple

T28776756
Position Surface form Disambiguated ID Type / Status
Subject Henry Crawford E726552 entity
Predicate readingAudiencePerception P95128 FINISHED
Object often seen as attractive but unreliable 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: often seen as attractive but unreliable | Statement: [Henry Crawford, readingAudiencePerception, often seen as attractive but unreliable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: readingAudiencePerception
Context triple: [Henry Crawford, readingAudiencePerception, often seen as attractive but unreliable]
  • A. readerReception chosen
    Indicates how readers interpret, respond to, or are affected by a particular text or work.
  • B. readership
    Indicates the relationship in which one party reads, follows, or is the audience for the written or published work of another.
  • C. readingExperience
    Indicates the relationship in which an entity engages with written or visual material, capturing the act, manner, or quality of that reading activity.
  • D. readerExperience
    Indicates the level or nature of engagement, understanding, or impact that a text or content has on its reader.
  • E. audienceImpact
    Indicates how an action, message, or event affects, influences, or resonates with its intended audience.
  • 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_69f03199997c8190b6ae43fb19312443 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f658ee40088190b71e1219407690d0 completed May 2, 2026, 8:05 p.m.
PD Predicate disambiguation batch_69f65760fd3081908ffe014a5e2bf069 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 6:18 a.m.