Triple

T1321682
Position Surface form Disambiguated ID Type / Status
Subject Loretta Young E28231 entity
Predicate notableWork P4 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: [Loretta Young, notableWork, Come to the Stable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come to the Stable
Context triple: [Loretta Young, notableWork, 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. The Cow
    The Cow is the English title of Surah Al-Baqarah, the Quran’s longest chapter, which covers core themes of faith, law, guidance, and the relationship between God and humanity.
  • C. En Gallop
    "En Gallop" is a song by American singer-songwriter Joanna Newsom, featured on her debut album "The Milk-Eyed Mender."
  • D. 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.
  • E. 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.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19932888190a3d45871e84f112e completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaf6a6d08190b8a30c2c64f15f59 completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:55 p.m.