Triple

T22840591
Position Surface form Disambiguated ID Type / Status
Subject Unbelievable E566067 entity
Predicate executiveProducer P7225 FINISHED
Object Katie Couric NE NERFINISHED

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: Katie Couric | Statement: [Unbelievable, executiveProducer, Katie Couric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Couric
Context triple: [Unbelievable, executiveProducer, Katie Couric]
  • A. Katie Couric chosen
    Katie Couric is an American journalist and television personality best known for anchoring major network news programs such as NBC's Today and the CBS Evening News.
  • B. Savannah Guthrie
    Savannah Guthrie is an American broadcast journalist and attorney best known as a longtime co-anchor of NBC’s morning show "Today."
  • C. Judy Woodruff
    Judy Woodruff is an American broadcast journalist best known for her long tenure as a leading anchor and managing editor of PBS’s flagship news program.
  • D. Kristen Welker
    Kristen Welker is an American television journalist and White House correspondent for NBC News who became the moderator of the long-running public affairs program "Meet the Press."
  • E. Diane Sawyer
    Diane Sawyer is an American television journalist best known for anchoring ABC News programs such as "ABC World News" and "Good Morning America."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.