Triple

T11859879
Position Surface form Disambiguated ID Type / Status
Subject Lestat (musical) E282131 entity
Predicate hasCharacter P2308 FINISHED
Object Armand
Armand is a central vampire character in the "Lestat" musical, adapted from Anne Rice’s The Vampire Chronicles.
 E954208 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 | Statement: [Lestat (musical), hasCharacter, Armand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Armand
Context triple: [Lestat (musical), hasCharacter, Armand]
  • A. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • B. 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.
  • C. Armand
    Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
  • 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. 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."
  • 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
Triple: [Lestat (musical), hasCharacter, Armand]
Generated description
Armand is a central vampire character in the "Lestat" musical, adapted from Anne Rice’s The Vampire Chronicles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Armand
Target entity description: Armand is a central vampire character in the "Lestat" musical, adapted from Anne Rice’s The Vampire Chronicles.
  • 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. 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."
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69a099c8190a674db64c50eca5a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fc3f6688190aec5c0b481cfc77f completed May 1, 2026, 5:53 a.m.
NEDg Description generation batch_69f448f506a48190a0f1b89ad570fad5 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44ad185cc8190893cf663cfed6980 completed May 1, 2026, 6:40 a.m.
Created at: April 8, 2026, 9:43 p.m.