Triple

T10974008
Position Surface form Disambiguated ID Type / Status
Subject Herbert Beerbohm Tree E259320 entity
Predicate child P120 FINISHED
Object Iris Tree E877447 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: Iris Tree | Statement: [Herbert Beerbohm Tree, child, Iris Tree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iris Tree
Context triple: [Herbert Beerbohm Tree, child, Iris Tree]
  • A. Iris Tree chosen
    Iris Tree was a British poet and actress associated with the bohemian and modernist circles of the early 20th century.
  • B. Viola Tree
    Viola Tree was a British actress and singer of the early 20th century, known for her stage performances and musical talents.
  • C. Figtree
    Figtree is a residential suburb of Wollongong in New South Wales, Australia, known for its shopping centre and proximity to both the Illawarra escarpment and the city centre.
  • D. Chandelier Tree
    Chandelier Tree is a famous coast redwood in California’s Humboldt Redwoods State Park, known for the car-sized tunnel cut through its trunk that allows vehicles to drive through it.
  • E. Nagi tree
    The Nagi tree is a revered sacred tree species in Japan, often associated with Shinto shrines and believed to offer protection and good fortune.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f3794c8190b1992b4695139b62 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344b433c481909bf22bba1b8dc3bd completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:24 p.m.