Triple

T1089279
Position Surface form Disambiguated ID Type / Status
Subject Schalk Willem Burger E24123 entity
Predicate familyName P18 FINISHED
Object Burger E117619 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: Burger | Statement: [Schalk Willem Burger, familyName, Burger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burger
Context triple: [Schalk Willem Burger, familyName, Burger]
  • A. Burger chosen
    Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
  • B. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • C. SANDWICH
    SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
  • D. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • E. Philly Special
    Philly Special is a famous trick play involving a reverse and a touchdown pass to the quarterback, used by the Philadelphia Eagles in Super Bowl LII and now iconic in NFL history.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42b41618819087884c292db4ed55 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.