Triple

T7525138
Position Surface form Disambiguated ID Type / Status
Subject Tenali Ramakrishna E177871 entity
Predicate fictionalization P3171 FINISHED
Object children’s story character 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: children’s story character | Statement: [Tenali Ramakrishna, fictionalization, children’s story character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalization
Context triple: [Tenali Ramakrishna, fictionalization, children’s story character]
  • A. fictionalizationOf chosen
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • B. fictionalizationLevel
    Indicates the degree to which an event, account, or representation has been altered, embellished, or invented relative to factual reality.
  • C. fictionalUse
    Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
  • D. fictionalMaterial
    Indicates that something is made of, composed of, or incorporates a material that exists only in fiction or imagination.
  • E. fictionalOrigin
    Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c7ac5c8190bbf9befdff791de0 completed March 27, 2026, 9:33 p.m.
PD Predicate disambiguation batch_69c6f4d6bb808190bdd04499fd3bceb6 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:46 p.m.