Triple

T10081000
Position Surface form Disambiguated ID Type / Status
Subject Carlo Rota E213898 entity
Predicate appearedIn P795 FINISHED
Object Bones
Bones is an American crime procedural television series that follows a forensic anthropologist and an FBI agent as they solve murders using skeletal evidence.
E378796 NE FINISHED

How this triple was built (4 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: [Carlo Rota, appearedIn, Bones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bones
Context triple: [Carlo Rota, appearedIn, Bones]
  • A. Bones
    "Bones" is the official theme song used for WWE's WrestleMania 29 event.
  • B. Bones
    Bones is the nickname of Bones McKinney, a notable American basketball player and coach from the mid-20th century.
  • C. Bones
    "Bones" is a 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
  • 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 2001 supernatural horror film starring Snoop Dogg as a murdered man who returns from the dead to exact revenge.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bones
Triple: [Carlo Rota, appearedIn, Bones]
Generated description
Bones is an American crime procedural television series that follows a forensic anthropologist and an FBI agent as they solve murders using skeletal evidence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bones
Target entity description: Bones is an American crime procedural television series that follows a forensic anthropologist and an FBI agent as they solve murders using skeletal evidence.
  • 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 2001 supernatural horror film starring Snoop Dogg as a murdered man who returns from the dead to exact revenge.
  • 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 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 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
  • F. None of above.

Provenance (5 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd032ef288190a961d266d9ecafbc completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b660987c8190a6a29d9e56acbff7 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9 p.m.