Triple

T16439859
Position Surface form Disambiguated ID Type / Status
Subject Mr. Brownstone E399269 entity
Predicate titleCharacter P9202 FINISHED
Object Mr. Brownstone E399269 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: Mr. Brownstone | Statement: [Mr. Brownstone, titleCharacter, Mr. Brownstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Brownstone
Context triple: [Mr. Brownstone, titleCharacter, Mr. Brownstone]
  • A. Mr. Brownstone chosen
    "Mr. Brownstone" is a hard rock song by Guns N' Roses, featured on their debut album Appetite for Destruction and known for its gritty depiction of heroin addiction.
  • B. Mr. Jones
    "Mr. Jones" is a hit alternative rock song by Counting Crows, known for its introspective lyrics about fame, dreams, and identity.
  • C. Mr. Jones
    Mr. Jones is a 2019 historical drama film directed by Agnieszka Holland about Welsh journalist Gareth Jones’s investigation into the Holodomor famine in Soviet Ukraine.
  • D. Mr. Brown
    Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
  • E. Mr. Brown
    Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba720a48190b0b412225e993e52 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458dde8881909778c9964ddc8efa completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.