Triple

T1502413
Position Surface form Disambiguated ID Type / Status
Subject John Havlicek E33824 entity
Predicate hasFamilyName P18 FINISHED
Object Havlicek E33824 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: Havlicek | Statement: [John Havlicek, hasFamilyName, Havlicek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havlicek
Context triple: [John Havlicek, hasFamilyName, Havlicek]
  • A. Havlicek chosen
    Havlicek is a surname most famously associated with John Havlicek, a Hall of Fame basketball player for the Boston Celtics.
  • B. Dietrich Hrabak
    Dietrich Hrabak was a German Luftwaffe fighter ace and high-ranking officer during World War II, known for his leadership roles on the Eastern Front.
  • C. Kurt Rambis
    Kurt Rambis is a former NBA forward best known for his role on the 1980s Los Angeles Lakers championship teams and later work as a coach and executive.
  • D. Viktor Knavs
    Viktor Knavs is a Slovenian former car salesman best known as the father of former U.S. First Lady Melania Trump.
  • E. Mirek Topolánek
    Mirek Topolánek is a Czech politician who served as Prime Minister of the Czech Republic from 2006 to 2009 and was a prominent leader of the Civic Democratic Party.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872fae4c81908e7d6961e6c5fa96 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1cb578e4819082d254462e10e4f0 completed March 8, 2026, 6:52 a.m.
Created at: March 4, 2026, 7:24 p.m.