Triple

T2403059
Position Surface form Disambiguated ID Type / Status
Subject Life with Lucy E50211 entity
Predicate creator P184 FINISHED
Object Bob Carroll Jr. E242215 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: Bob Carroll Jr. | Statement: [Life with Lucy, creator, Bob Carroll Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Carroll Jr.
Context triple: [Life with Lucy, creator, Bob Carroll Jr.]
  • A. Bob Carroll Jr. chosen
    Bob Carroll Jr. was an American television writer best known for co-creating and writing for the classic sitcom "I Love Lucy."
  • B. Don Beyer
    Don Beyer is an American Democratic politician and former Lieutenant Governor of Virginia who serves in the U.S. House of Representatives.
  • C. Terry Jeffords
    Terry Jeffords is a devoted family man and physically imposing yet gentle sergeant in the comedy series "Brooklyn Nine-Nine," known for his leadership, sensitivity, and love of yogurt.
  • D. Bill Marshall
    Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
  • E. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8f8aa2881909192920ee394f0b3 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e554c08190b5268c41ab34f4d9 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:58 p.m.