Triple

T12561157
Position Surface form Disambiguated ID Type / Status
Subject Harry Hamlin E295346 entity
Predicate appearedIn P795 FINISHED
Object Movie Stars E843098 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: Movie Stars | Statement: [Harry Hamlin, appearedIn, Movie Stars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Movie Stars
Context triple: [Harry Hamlin, appearedIn, Movie Stars]
  • A. Movie Stars chosen
    Movie Stars is a television sitcom featuring Jennifer Grant that centers on the personal and professional lives of Hollywood actors.
  • 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. Stars
    Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
  • D. Moviefone
    Moviefone is an online service that provides movie showtimes, tickets, and related film information to consumers.
  • 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 (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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954933e7c819083471c627ce55ff1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558b307c81909ec5407af013de1d completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:48 p.m.