Triple

T16247594
Position Surface form Disambiguated ID Type / Status
Subject Joshua Logan E394413 entity
Predicate notableWork P4 FINISHED
Object Tall Story E1135183 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: Tall Story | Statement: [Joshua Logan, notableWork, Tall Story]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tall Story
Context triple: [Joshua Logan, notableWork, Tall Story]
  • A. Tall Story chosen
    Tall Story is a comedic stage play best known for its satirical take on college basketball and romantic entanglements.
  • B. The Tall Story
    The Tall Story is a work by British poet and painter Frieda Hughes, reflecting her distinctive, often darkly lyrical voice shaped by her literary heritage.
  • C. A Tall Story
    A Tall Story is a musical work composed by American composer Jerome Moross, known for his contributions to mid-20th-century film and stage music.
  • D. Of the Farm
    Of the Farm is a short 1965 novel by American author John Updike that explores family tensions, memory, and identity during a son’s visit to his widowed mother’s rural Pennsylvania farm.
  • E. Sea of Stories
    The Sea of Stories is a vast, magical ocean of interwoven tales and narrative streams in Salman Rushdie’s children’s novel "Haroun and the Sea of Stories."
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245942460819080897afad0d2fe09 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee3bbc48190a56ce2807a9510f0 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.