Triple

T11623125
Position Surface form Disambiguated ID Type / Status
Subject Gonzalo Menendez E276189 entity
Predicate notableWork P4 FINISHED
Object Bones
"Bones" is a long-running American crime procedural television series that blends forensic anthropology with FBI investigations to solve murders.
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: [Gonzalo Menendez, notableWork, Bones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bones
Context triple: [Gonzalo Menendez, 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 the official theme song used for WWE's WrestleMania 29 event.
  • 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 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. 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: [Gonzalo Menendez, notableWork, Bones]
Generated description
"Bones" is a long-running American crime procedural television series that blends forensic anthropology with FBI investigations to solve murders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bones
Target entity description: "Bones" is a long-running American crime procedural television series that blends forensic anthropology with FBI investigations to solve murders.
  • 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 a 2022 pop-rock single by Imagine Dragons known for its dark, upbeat sound and themes of mortality and resilience.
  • 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.

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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a122a3708190ab6513dad4c4fde7 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee8762586481909a4b563c827487e0 completed April 26, 2026, 9:45 p.m.
NEDg Description generation batch_69eeb310e04c8190a1004662d5bbc015 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee95dfff48190a3c3022cdfc6dafc completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:39 p.m.