Triple

T15003586
Position Surface form Disambiguated ID Type / Status
Subject Brain Droppings E377649 entity
Predicate author P4 FINISHED
Object George Carlin E12113 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: George Carlin | Statement: [Brain Droppings, author, George Carlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Carlin
Context triple: [Brain Droppings, author, George Carlin]
  • A. George Carlin chosen
    George Carlin was an influential American stand-up comedian, social critic, and author known for his sharp wit, boundary-pushing routines, and incisive commentary on language, politics, and culture.
  • B. Larry Vanover
    Larry Vanover is a longtime Major League Baseball umpire who has worked numerous regular-season and postseason games since the early 1990s.
  • C. Mort Sahl
    Mort Sahl was a pioneering American stand-up comedian known for his sharp, politically charged, conversational style that helped transform modern comedy.
  • D. Bill Hicks
    Bill Hicks was an American stand-up comedian known for his dark, satirical, and politically charged humor that critiqued consumerism, religion, and the media.
  • E. Dennis Miller
    Dennis Miller is an American stand-up comedian, talk show host, and actor known for his acerbic wit and work on Saturday Night Live and various political commentary programs.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a8b3708190be7c35a05fd08a52 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 2:54 a.m.