Triple

T20720801
Position Surface form Disambiguated ID Type / Status
Subject Train of the Stars E509304 entity
Predicate targetPassengers P860 FINISHED
Object Hollywood celebrities NE NERFINISHED

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: Hollywood celebrities | Statement: [Train of the Stars, targetPassengers, Hollywood celebrities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hollywood celebrities
Context triple: [Train of the Stars, targetPassengers, Hollywood celebrities]
  • A. Hollywood celebrities chosen
    Hollywood celebrities are widely recognized film and television stars known for their prominent roles in the entertainment industry and significant influence on popular culture.
  • B. Hollywood Stars
    Hollywood Stars was a popular minor league baseball team based in Los Angeles that played in the Pacific Coast League and became known for its celebrity ownership and entertainment-industry flair.
  • C. Movie Stars
    Movie Stars is a television sitcom featuring Jennifer Grant that centers on the personal and professional lives of Hollywood actors.
  • D. Hollywood Life
    Hollywood Life is an entertainment and celebrity news website known for covering pop culture, fashion, and lifestyle stories.
  • E. Celebrity
    "Celebrity" is a 1998 black-and-white satirical comedy film directed by Woody Allen that explores the absurdities of fame and the media through an ensemble cast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d5eec08190832ffba8a90f3076 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:26 p.m.