Triple

T10121783
Position Surface form Disambiguated ID Type / Status
Subject Paul Sarossy E223307 entity
Predicate workedOn P3 FINISHED
Object Mr. In-Between E771123 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. In-Between | Statement: [Paul Sarossy, workedOn, Mr. In-Between]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. In-Between
Context triple: [Paul Sarossy, workedOn, Mr. In-Between]
  • A. Mr In-Between chosen
    Mr In-Between is a dark British crime thriller novel by Neil Cross that follows a professional hitman whose violent work life collides with his attempts at ordinary relationships.
  • B. The Man Between
    The Man Between is a 1953 British Cold War thriller film set in postwar Berlin, directed by Carol Reed and noted for its atmospheric cinematography and espionage-driven plot.
  • C. In Between
    "In Between" is a song by the American rock band Blue Collar.
  • D. Everything in Between
    "Everything in Between" is a 2010 studio album by the Los Angeles punk rock band No Age, known for its blend of noise, punk, and experimental indie sounds.
  • E. Stakeout
    "Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc493db88190b3b09a77b82b3cc9 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:04 p.m.