Triple

T13400293
Position Surface form Disambiguated ID Type / Status
Subject WBBM-TV E319808 entity
Predicate notableAlumnus P304 FINISHED
Object Bill Kurtis E991548 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: Bill Kurtis | Statement: [WBBM-TV, notableAlumnus, Bill Kurtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Kurtis
Context triple: [WBBM-TV, notableAlumnus, Bill Kurtis]
  • A. Bill Kurtis chosen
    Bill Kurtis is an American television journalist, producer, and narrator known for his work on true-crime programs and as the announcer for NPR’s quiz show "Wait Wait... Don't Tell Me!".
  • B. Stephen Haise
    Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
  • C. Brian Lamb
    Brian Lamb is an American journalist and television executive best known as the founder and longtime CEO of the public affairs network C-SPAN.
  • D. Greg Kouri
    Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
  • E. William Broyles Jr.
    William Broyles Jr. is an American screenwriter and former journalist best known for writing acclaimed films such as "Apollo 13" and "Cast Away."
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f730745a248190b32c11eeee618864 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.