Triple

T13064152
Position Surface form Disambiguated ID Type / Status
Subject George Memmoli E329275 entity
Predicate notableWork P4 FINISHED
Object The Sure Thing E576890 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: The Sure Thing | Statement: [George Memmoli, notableWork, The Sure Thing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sure Thing
Context triple: [George Memmoli, notableWork, The Sure Thing]
  • A. The Sure Thing chosen
    The Sure Thing is a 1985 romantic comedy film directed by Rob Reiner, known for its witty road-trip romance and as an early breakout role for John Cusack.
  • B. Chances
    Chances is a bestselling 1981 novel by Jackie Collins that follows the rise of the powerful Santangelo crime family in a glamorous, gritty world of power, sex, and revenge.
  • C. The Man Who Had Everything
    The Man Who Had Everything is a 1920s American silent film drama featuring actress Priscilla Bonner in a prominent role.
  • D. The Sensible Thing
    "The Sensible Thing" is a short story by F. Scott Fitzgerald that explores themes of love, disillusionment, and the clash between youthful dreams and adult realities.
  • E. The One and Only
    The One and Only is a film edited by acclaimed British film editor Terry Rawlings, known for his work on major genre-defining movies.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:59 p.m.