Triple

T9069186
Position Surface form Disambiguated ID Type / Status
Subject One Hand, One Heart E217318 entity
Predicate originalCharacters P12208 FINISHED
Object Tony E296204 NE 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: Tony | Statement: [One Hand, One Heart, originalCharacters, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony
Context triple: [One Hand, One Heart, originalCharacters, Tony]
  • A. Tony
    Tony is the NATO reporting name for the Japanese World War II Kawasaki Ki-61 fighter aircraft.
  • B. Tony
    Tony is a common masculine given name, often used as a diminutive of Anthony or Antonio.
  • C. Tony chosen
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • D. Tony
    Tony is a central, shape-shifting conman character in the fantasy film "The Imaginarium of Doctor Parnassus," notably portrayed by multiple actors including Heath Ledger, Johnny Depp, Jude Law, and Colin Farrell.
  • E. Tony
    Tony is the humanoid robot protagonist of Isaac Asimov’s science fiction short story “Satisfaction Guaranteed,” designed to interact closely with humans and explore the emotional and ethical implications of human–robot relationships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ba250819085fa49e0059d06c1 completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05beac7a08190a4e7634bf02ce304 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:11 p.m.