Triple

T2245183
Position Surface form Disambiguated ID Type / Status
Subject Rodgers and Hammerstein E49485 entity
Predicate wroteSong P2831 FINISHED
Object Edelweiss E66295 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: Edelweiss | Statement: [Rodgers and Hammerstein, wroteSong, Edelweiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edelweiss
Context triple: [Rodgers and Hammerstein, wroteSong, Edelweiss]
  • A. Edelweiss chosen
    "Edelweiss" is a gentle, nostalgic song from the musical *The Sound of Music*, widely recognized as one of Richard Rodgers and Oscar Hammerstein II’s most beloved compositions.
  • B. Blue Mountain
    Blue Mountain is a prominent ridge of the Appalachian Mountains in eastern Pennsylvania, forming a major natural barrier and scenic landmark across the region.
  • C. Snowdrops
    Snowdrops is an informal nickname for members of the Royal Air Force Police in the United Kingdom.
  • D. Ourique
    Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
  • E. Snow Angels
    Snow Angels is a 2007 American drama film, directed by David Gordon Green and based on Stewart O'Nan's novel, that interweaves the lives of several small-town characters in the wake of a tragic event.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0e8d5648190915ff689c7ca42bc completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1284d0819093b041ede90d4c53 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.