Triple

T1637167
Position Surface form Disambiguated ID Type / Status
Subject The Polar Express E35382 entity
Predicate basedOn P98 FINISHED
Object The Polar Express (book) E35382 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 Polar Express (book) | Statement: [The Polar Express, basedOn, The Polar Express (book)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Polar Express (book)
Context triple: [The Polar Express, basedOn, The Polar Express (book)]
  • A. The Polar Express chosen
    The Polar Express is a 2004 animated Christmas fantasy film, directed by Robert Zemeckis and known for its pioneering use of motion-capture technology to tell the story of a magical train journey to the North Pole.
  • B. Pocketful of Miracles
    Pocketful of Miracles is a 1961 American comedy-drama film about a New York gangster who helps transform a street peddler into a high-society lady to impress her visiting daughter.
  • C. The Wonder
    The Wonder is a psychological period drama film in which Florence Pugh plays an English nurse sent to investigate a young Irish girl who appears to survive without eating.
  • D. The Cat in the Hat
    The Cat in the Hat is a popular dark ride at Universal's Islands of Adventure that brings Dr. Seuss's classic children's book to life through whimsical scenes and motion-based vehicles.
  • E. Wonderland
    Wonderland is a rapid transit station in Revere, Massachusetts, serving as the northern terminus of Boston’s MBTA Blue Line.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a192d588190bbfa4693ed787c05 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58ddfdbc819096578412818fdfbf completed March 8, 2026, 11:09 a.m.
Created at: March 4, 2026, 7:28 p.m.