Triple

T2820784
Position Surface form Disambiguated ID Type / Status
Subject Luz Long E54802 entity
Predicate name P16 FINISHED
Object Luz Long E54802 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: Luz Long | Statement: [Luz Long, name, Luz Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luz Long
Context triple: [Luz Long, name, Luz Long]
  • A. Luz Long chosen
    Luz Long was a German long jumper best remembered for his sportsmanship and friendship with Jesse Owens during the 1936 Berlin Olympics.
  • B. Jesse Owens
    Jesse Owens was an American track and field athlete who won four gold medals at the 1936 Berlin Olympics, famously undermining Nazi racial ideology with his performances.
  • C. Lou Marsh
    Lou Marsh was a prominent Canadian sports journalist and referee whose legacy is honored through Canada's annual award for the country's top athlete.
  • D. Eric Liddell
    Eric Liddell was a Scottish sprinter and Christian missionary best known for winning the 400 metres gold medal at the 1924 Paris Olympics and for his principled refusal to run on Sunday.
  • E. Tommy Smith
    Tommy Smith is a former professional soccer player best known for his time in the North American Soccer League, including a notable stint with the Los Angeles Aztecs.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde6e85008190a08eb2bf8e393e7e completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afcea809e48190b22f25a3c8c1acdd completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.