Triple

T10557774
Position Surface form Disambiguated ID Type / Status
Subject Mike Medavoy E249133 entity
Predicate familyName P18 FINISHED
Object Medavoy
Medavoy is the surname of American film producer and studio executive Mike Medavoy, known for his influential role in Hollywood cinema.
 E870512 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: Medavoy | Statement: [Mike Medavoy, familyName, Medavoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Medavoy
Context triple: [Mike Medavoy, familyName, Medavoy]
  • A. Dervan
    Dervan is a surname most notably associated with American chemist Peter B. Dervan, known for his pioneering work in bioorganic chemistry and DNA recognition.
  • B. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • C. Devorski
    Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
  • D. Medawar
    Medawar is a district in Beirut, Lebanon, known for its diverse urban character and historical significance within the city.
  • E. Norvos
    Norvos is a theocratic, heavily fortified Free City in northern Essos known for its bearded priesthood and strict, austere culture.
  • 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: Medavoy
Triple: [Mike Medavoy, familyName, Medavoy]
Generated description
Medavoy is the surname of American film producer and studio executive Mike Medavoy, known for his influential role in Hollywood cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Medavoy
Target entity description: Medavoy is the surname of American film producer and studio executive Mike Medavoy, known for his influential role in Hollywood cinema.
  • A. Dervan
    Dervan is a surname most notably associated with American chemist Peter B. Dervan, known for his pioneering work in bioorganic chemistry and DNA recognition.
  • B. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • C. Devorski
    Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
  • D. Medawar
    Medawar is a district in Beirut, Lebanon, known for its diverse urban character and historical significance within the city.
  • E. Norvos
    Norvos is a theocratic, heavily fortified Free City in northern Essos known for its bearded priesthood and strict, austere culture.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.