Triple

T15419613
Position Surface form Disambiguated ID Type / Status
Subject K.D. Aubert E369337 entity
Predicate appearedIn P795 FINISHED
Object Bones E378796 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: Bones | Statement: [K.D. Aubert, appearedIn, Bones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bones
Context triple: [K.D. Aubert, appearedIn, Bones]
  • A. Bones chosen
    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.
  • B. Bones
    "Bones" is a 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
  • C. 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.
  • D. Bones
    "Bones" is a moody, guitar-driven alternative rock song by Radiohead from their 1995 album *The Bends*, noted for its themes of physical and emotional fragility.
  • E. Bones
    Bones is a critically acclaimed novel by Zimbabwean writer Chenjerai Hove that explores the human cost of colonialism and war through the life of a rural woman.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebce4f48190ba282ecb4fb2f6fa completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7adb848190836fb972bc8744f1 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:20 a.m.