Triple

T11063990
Position Surface form Disambiguated ID Type / Status
Subject Massey Sahib E261574 entity
Predicate basedOn P98 FINISHED
Object Mister Johnson E562974 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: Mister Johnson | Statement: [Massey Sahib, basedOn, Mister Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mister Johnson
Context triple: [Massey Sahib, basedOn, Mister Johnson]
  • A. Mister Johnson chosen
    Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
  • 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. Jackson
    Mr. Jackson is a messy, intrusive toad character in Beatrix Potter’s children’s story "The Tale of Mrs. Tittlemouse."
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798ed07f88190bf501d9f63386ada completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8977f98819082dec025e92782da completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.