Triple

T20516909
Position Surface form Disambiguated ID Type / Status
Subject Bones E503704 entity
Predicate nickname P55 FINISHED
Object Bones NE NERFINISHED

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: Bones | Statement: [Bones, nickname, Bones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bones
Context triple: [Bones, nickname, Bones]
  • A. Bones
    "Bones" is the official theme song used for WWE's WrestleMania 29 event.
  • B. Bones chosen
    Bones is the nickname of Bones McKinney, a notable American basketball player and coach from the mid-20th century.
  • C. Bones
    Bones is a popular American crime procedural television series that blends forensic anthropology with FBI investigations, following Dr. Temperance Brennan and Agent Seeley Booth as they solve murders using skeletal evidence.
  • D. Bones
    Bones is the nickname of Dr. Leonard McCoy, the irascible yet compassionate chief medical officer aboard the starship Enterprise in the Star Trek franchise.
  • E. Bones
    Bones is a renowned Japanese animation studio known for producing high-quality, visually dynamic anime series such as Fullmetal Alchemist, My Hero Academia, and Mob Psycho 100.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.