Triple

T5210479
Position Surface form Disambiguated ID Type / Status
Subject Burger E117619 entity
Predicate hasNotableBearer P458 FINISHED
Object Michael Burger E229788 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: Michael Burger | Statement: [Burger, hasNotableBearer, Michael Burger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Burger
Context triple: [Burger, hasNotableBearer, Michael Burger]
  • A. Michael Burger chosen
    Michael Burger is a legal scholar and environmental law expert known for his leadership in advancing climate change law and policy.
  • B. Preston Scott Cohen
    Preston Scott Cohen is an American architect and educator known for his complex geometric designs and influential role as a professor and former chair of architecture at Harvard Graduate School of Design.
  • C. Wil Andersen
    Wil Andersen is the tough, aging rancher portrayed by John Wayne who leads a group of inexperienced boys on a perilous cattle drive in the Western film "The Cowboys."
  • D. Michael Masser
    Michael Masser was an American songwriter and producer best known for crafting soulful pop and R&B ballads for artists like Whitney Houston and Diana Ross.
  • E. Allen Bauer
    Allen Bauer is the romantic lead in the 1984 fantasy-comedy film "Splash," where he falls in love with a mysterious mermaid in New York City.
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a703e388190845dedd17252ddde completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefd9e0b481908db7d6e2907b3b2b completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:47 p.m.