Triple

T13767871
Position Surface form Disambiguated ID Type / Status
Subject Dan O'Brien E330796 entity
Predicate worldRecordHeldIn P12162 FINISHED
Object decathlon E263563 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: decathlon | Statement: [Dan O'Brien, worldRecordHeldIn, decathlon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: decathlon
Context triple: [Dan O'Brien, worldRecordHeldIn, decathlon]
  • A. decathlon chosen
    The decathlon is a grueling two-day track and field combined event in which athletes compete across ten disciplines to determine the most versatile all-around performer.
  • B. Decathlon
    Decathlon is a classic multi-sport track and field video game designed by David Crane, known for challenging players to compete across ten Olympic-style events.
  • C. Sportiva
    Sportiva is a tire brand owned by Continental AG, offering budget-friendly tires for everyday driving needs.
  • D. Athleap
    Athleap is the fictional sports marketing company that Jim Halpert co-founds and eventually joins full-time in the TV series "The Office."
  • E. Atlit
    Atlit is a coastal town in northern Israel known for its Crusader-era fortress, detention camp museum, and proximity to Haifa.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a866e7cc8190a0381f4469193b6e completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.