Triple

T4614621
Position Surface form Disambiguated ID Type / Status
Subject Sexiest Man Alive E100837 entity
Predicate awardedBy P287 FINISHED
Object People E3453 NE FINISHED

How this triple was built (2 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: People | Statement: [Sexiest Man Alive, awardedBy, People]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: People
Context triple: [Sexiest Man Alive, awardedBy, People]
  • A. People chosen
    People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
  • B. Humans
    Humans is a British science fiction television series that explores the social, ethical, and emotional consequences of advanced humanoid robots integrating into everyday human life.
  • C. Show People
    Show People is a 1928 silent comedy film directed by King Vidor that satirizes Hollywood and the movie industry.
  • D. People Hub
    People Hub is a central contact and social networking hub in Windows Phone that aggregates contacts, social feeds, and communication history into a unified interface.
  • E. Pare people
    The Pare people are a Bantu-speaking ethnic group of northeastern Tanzania known for their terraced agriculture, ironworking history, and residence in the Pare Mountains near Mount Kilimanjaro.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1029dc8c81908ec7d0ddd23428b4 completed March 21, 2026, 3:27 a.m.
Created at: March 20, 2026, 1:12 p.m.