Triple

T20868513
Position Surface form Disambiguated ID Type / Status
Subject The Messenger E513825 entity
Predicate reviewAggregationSite P23408 FINISHED
Object Metacritic 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: Metacritic | Statement: [The Messenger, reviewAggregationSite, Metacritic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metacritic
Context triple: [The Messenger, reviewAggregationSite, 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. Brovst
    Brovst is a small Danish town in the North Jutland region, known for its rural surroundings and role as a local service and commercial center.
  • E. Ebert
    Ebert is a German surname most notably associated with prominent political figures such as Friedrich Ebert, the first President of Germany, and his son Friedrich Ebert Jr.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4624ce48190b85e5bb24cf0a305 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.