Triple

T10201074
Position Surface form Disambiguated ID Type / Status
Subject Captain Fantastic E238880 entity
Predicate reviewAggregator P23408 FINISHED
Object Metacritic E127936 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: Metacritic | Statement: [Captain Fantastic, reviewAggregator, Metacritic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metacritic
Context triple: [Captain Fantastic, reviewAggregator, Metacritic]
  • A. Metacritic chosen
    Metacritic is a review aggregation website that compiles and averages critics’ and users’ scores for films, games, TV shows, and music.
  • B. Rotten Tomatoes
    Rotten Tomatoes is a popular online review aggregation platform that compiles film and television critics’ reviews into a percentage-based “Tomatometer” score.
  • C. Pitchfork
    Pitchfork is an influential online music publication known for its in-depth reviews, features, and coverage of independent and alternative music.
  • D. YTS
    YTS is the IATA airport code for Timmins Victor M. Power Airport, a regional airport serving the city of Timmins in Ontario, Canada.
  • E. The Criterion
    The Criterion was a British literary magazine founded and edited by T. S. Eliot, known for publishing influential modernist works and critical essays in the early 20th century.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317f40f0c8190a3d966c934cc20f7 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.