Triple

T7951453
Position Surface form Disambiguated ID Type / Status
Subject Deadliest Warrior E184622 entity
Predicate featuresHost P42287 FINISHED
Object Armand Dorian
Armand Dorian is an American trauma surgeon and television personality best known for serving as the medical expert on the TV series "Deadliest Warrior."
 E701833 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: Armand Dorian | Statement: [Deadliest Warrior, featuresHost, Armand Dorian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armand Dorian
Context triple: [Deadliest Warrior, featuresHost, Armand Dorian]
  • A. Armand
    Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
  • B. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • C. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • D. Armand
    Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
  • E. Remy LeBeau
    Remy LeBeau, better known as Gambit, is a charming, card-throwing mutant thief from Marvel's X-Men universe who can kinetically charge objects as explosive weapons.
  • 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: Armand Dorian
Triple: [Deadliest Warrior, featuresHost, Armand Dorian]
Generated description
Armand Dorian is an American trauma surgeon and television personality best known for serving as the medical expert on the TV series "Deadliest Warrior."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armand Dorian
Target entity description: Armand Dorian is an American trauma surgeon and television personality best known for serving as the medical expert on the TV series "Deadliest Warrior."
  • A. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • B. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • C. Armand
    Armand is the given first name of the 19th-century French physicist Hippolyte Fizeau, known for his pioneering measurements of the speed of light.
  • D. Armand
    Armand is a masculine given name of French origin, historically associated with nobility and used in various European and English-speaking cultures.
  • E. Remy LeBeau
    Remy LeBeau, better known as Gambit, is a charming, card-throwing mutant thief from Marvel's X-Men universe who can kinetically charge objects as explosive weapons.
  • F. None of above. chosen

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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0530b8881908e35b10917e69899 completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cbe43970008190974c4416b0f12532 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc0a474334819085912ecadd84f667 completed March 31, 2026, 5:54 p.m.
Created at: March 30, 2026, 5:10 p.m.