Triple

T15132327
Position Surface form Disambiguated ID Type / Status
Subject The Great Outdoors E361449 entity
Predicate musicBy P1952 FINISHED
Object Miles Goodman E307580 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: Miles Goodman | Statement: [The Great Outdoors, musicBy, Miles Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles Goodman
Context triple: [The Great Outdoors, musicBy, Miles Goodman]
  • A. Miles Goodman chosen
    Miles Goodman was an American composer and jazz record producer best known for his film scores, particularly for popular comedies of the 1980s and early 1990s.
  • B. Miles Fairley
    Miles Fairley is a charming but duplicitous children's book author who becomes a romantic interest of the protagonist in the classic film "The Ghost and Mrs. Muir."
  • C. Miles Morgan
    Miles Morgan is a member of the prominent Morgan banking family, known primarily as a descendant of financier Henry Sturgis Morgan.
  • D. Miles Tuck
    Miles Tuck is a character in the novel "Tuck Everlasting," a member of the immortal Tuck family who grapples with the consequences of eternal life.
  • E. Martin Vail
    Martin Vail is the ambitious Chicago defense attorney who takes on the high-profile case at the center of the legal thriller film "Primal Fear."
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b29a4c819087f8818e3f5788f5 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe8802c81909af9dd11a7805f31 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.