Triple

T7785899
Position Surface form Disambiguated ID Type / Status
Subject Rio Grande (1950 film) E187243 entity
Predicate starring P1507 FINISHED
Object Ben Johnson E240588 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: Ben Johnson | Statement: [Rio Grande (1950 film), starring, Ben Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Johnson
Context triple: [Rio Grande (1950 film), starring, Ben Johnson]
  • A. Ben Johnson
    Ben Johnson is a Canadian former sprinter best known for winning the 100 metres at the 1988 Seoul Olympics before being stripped of the title for doping.
  • B. Ben Johnson chosen
    Ben Johnson is an American actor best known for his roles in classic Western films and for winning an Academy Award for his performance in "The Last Picture Show."
  • C. Ben Johnson
    Ben Johnson is an English professional footballer known for playing as a defender for West Ham United and representing England at youth international levels.
  • D. Michael Johnson
    Michael Johnson is an American sprinter renowned for his dominance in the 200m and 400m events, multiple world records, and several Olympic gold medals.
  • E. Maurice Greene
    Maurice Greene is an American former sprinter and Olympic gold medalist who dominated the 100-meter dash in the late 1990s and early 2000s.
  • 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_69ca82af2d2c8190963861f5e0b8bf21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cadf22d9b4819081b877c751204a22 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf604715081909eed614cbadb8db6 completed March 30, 2026, 10:15 p.m.
Created at: March 30, 2026, 4:23 p.m.