Triple

T5475654
Position Surface form Disambiguated ID Type / Status
Subject Stand by Me E122945 entity
Predicate basedOn P98 FINISHED
Object The Body E192792 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 Body | Statement: [Stand by Me, basedOn, The Body]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Body
Context triple: [Stand by Me, basedOn, The Body]
  • A. The Body chosen
    "The Body" is a coming-of-age novella by Stephen King, best known as the basis for the 1986 film "Stand by Me."
  • B. Bodies
    Bodies is a British television drama series featuring Keith Allen in a prominent role, known for its gritty and realistic portrayal of hospital life and medical ethics.
  • C. Bodies Are Where You Find Them
    Bodies Are Where You Find Them is a 1941 hardboiled detective novel by Brett Halliday featuring private eye Michael Shayne, later loosely adapted into the film Kiss Kiss Bang Bang.
  • D. The Body Has a Head
    The Body Has a Head is a solo album by Australian guitarist and Dirty Three member Mick Turner, showcasing his distinctive, atmospheric instrumental style.
  • E. Gone
    "Gone" is a country music album by American singer-songwriter Dwight Yoakam that blends traditional honky-tonk with more contemporary influences.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd923465c88190ad9c1b75b268f7ca completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf489a8f9881908aec81e59ed1e3e4 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.