Triple

T14009973
Position Surface form Disambiguated ID Type / Status
Subject Up in Central Park E337051 entity
Predicate originalBroadwayCastMember P4737 FINISHED
Object David Burns E894929 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: David Burns | Statement: [Up in Central Park, originalBroadwayCastMember, David Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Burns
Context triple: [Up in Central Park, originalBroadwayCastMember, David Burns]
  • A. David Burns chosen
    David Burns was an American character actor and comedian known for his work on Broadway and in mid-20th-century film and television.
  • B. David D. Burns
    David D. Burns is an American psychiatrist and bestselling author known for popularizing cognitive behavioral therapy through works like "Feeling Good: The New Mood Therapy."
  • C. Roger Stahl
    Roger Stahl is a communication scholar known for his work on media, militarism, and the cultural politics of war in the United States.
  • D. Albert H. Ellis
    Albert H. Ellis was an American pioneer and early settler in what became Ellis County, Oklahoma, for whom the county was named in recognition of his contributions to the region’s development.
  • E. Bruce D. Lucas
    Bruce D. Lucas is a computer scientist best known for co-developing the Lucas–Kanade method, a foundational algorithm in computer vision for estimating optical flow and image alignment.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed44f90819099ad08c09c066b56 completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.