Triple

T1070902
Position Surface form Disambiguated ID Type / Status
Subject Sister Margaret E23325 entity
Predicate appearsIn P795 FINISHED
Object Come to the Stable E3522 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: Come to the Stable | Statement: [Sister Margaret, appearsIn, Come to the Stable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come to the Stable
Context triple: [Sister Margaret, appearsIn, Come to the Stable]
  • A. Come to the Stable chosen
    Come to the Stable is a 1949 American comedy-drama film about two French nuns trying to build a children's hospital in New England.
  • B. En Gallop
    "En Gallop" is a song by American singer-songwriter Joanna Newsom, featured on her debut album "The Milk-Eyed Mender."
  • C. The Paddock
    The Paddock is a themed lodging and recreation area within Disney’s Saratoga Springs Resort & Spa, featuring resort accommodations, a pool, and related guest amenities.
  • D. The Pleased
    The Pleased was an indie rock band from San Francisco known for featuring harpist-singer-songwriter Joanna Newsom as a member early in her career.
  • E. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92848148190ba8795cb8d0a1d0a completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a70ab88190ba0f0a62b19af871 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.