Triple

T16133061
Position Surface form Disambiguated ID Type / Status
Subject Bobby Hart E391451 entity
Predicate wroteSongsFor P44022 FINISHED
Object The Leaves E442031 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 Leaves | Statement: [Bobby Hart, wroteSongsFor, The Leaves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Leaves
Context triple: [Bobby Hart, wroteSongsFor, The Leaves]
  • A. The Leaves chosen
    The Leaves were a 1960s American garage rock band best known for their hit version of the song "Hey Joe."
  • B. The Evergreens
    The Evergreens is the historic home of Emily Dickinson’s brother and his family in Amherst, Massachusetts, preserved as part of the Emily Dickinson Museum complex.
  • C. The Leaf
    The Leaf is a themed stage at the Tomorrowland electronic dance music festival known for hosting immersive performances and DJ sets in a distinctive, creatively designed environment.
  • D. Red Leaves
    "Red Leaves" is a short story by William Faulkner that explores themes of death, slavery, and cultural conflict in the American South.
  • E. Some Trees
    "Some Trees" is an influential early poetry collection by American poet John Ashbery, noted for its innovative, abstract style and importance to postwar American poetry.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a02e0048190b4e2c6ff434c2d7a completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b1b7248190a1bba4a87db8318b completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.