Triple

T11438732
Position Surface form Disambiguated ID Type / Status
Subject Lou Johnson E271080 entity
Predicate givenName P17 FINISHED
Object Louis E794381 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: Louis | Statement: [Lou Johnson, givenName, Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis
Context triple: [Lou Johnson, givenName, Louis]
  • A. Louis
    Louis is the friendly, trumpet-playing alligator who dreams of becoming a jazz musician in Disney's animated film "The Princess and the Frog."
  • B. Louis
    Louis is the family name of Spyridon Louis, the Greek runner who won the first modern Olympic marathon in 1896.
  • C. Louis chosen
    Louis is the given name of Louis Althusser, a prominent 20th-century French Marxist philosopher known for his structuralist interpretation of Marxism.
  • D. Louis
    Louis is the given first name of Lou Piniella, a former Major League Baseball outfielder and World Series–winning manager.
  • E. Louis
    Louis is the given name of Armand Hippolyte Louis Fizeau, a 19th-century French physicist known for pioneering measurements of the speed of light.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d39554c48190969cc0ebd4dbc368 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.