Triple

T7567850
Position Surface form Disambiguated ID Type / Status
Subject Valarie Pettiford E178964 entity
Predicate notableWork P4 FINISHED
Object Bones
"Bones" is an American crime procedural television series that follows a forensic anthropologist and an FBI agent as they solve murders by examining human remains.
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: [Valarie Pettiford, notableWork, Bones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bones
Context triple: [Valarie Pettiford, notableWork, Bones]
  • A. Bones
    Bones is the nickname of Bones McKinney, a notable American basketball player and coach from the mid-20th century.
  • 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 the official theme song used for WWE's WrestleMania 29 event.
  • D. 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.
  • E. 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.
  • 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: [Valarie Pettiford, notableWork, Bones]
Generated description
"Bones" is an American crime procedural television series that follows a forensic anthropologist and an FBI agent as they solve murders by examining human remains.
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 by examining human remains.
  • 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 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
  • 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 the official theme song used for WWE's WrestleMania 29 event.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f91d9bfc8190af6f5f8211c3dda2 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856e0c23481908fc59ecc318840ba completed March 28, 2026, 10:32 p.m.
NEDg Description generation batch_69c858e260d0819084df667d5aec53f7 completed March 28, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69c859790e8881908a78449f40d528d8 completed March 28, 2026, 10:43 p.m.
Created at: March 27, 2026, 3:51 p.m.