Triple

T10462944
Position Surface form Disambiguated ID Type / Status
Subject Ernest Fleischmann E246720 entity
Predicate givenName P17 FINISHED
Object Ernest E49898 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: Ernest | Statement: [Ernest Fleischmann, givenName, Ernest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest
Context triple: [Ernest Fleischmann, givenName, Ernest]
  • A. Ernest chosen
    Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
  • B. Ernest Goes to School
    Ernest Goes to School is a 1994 slapstick comedy film in the Ernest P. Worrell series, following the dim-witted but well-meaning Ernest as he returns to high school to earn his diploma.
  • C. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • D. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • E. Maurice
    Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50884fac48190af22e181b1492557 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fd865688190b0b5708481f397f4 completed April 10, 2026, 6:59 a.m.
Created at: April 6, 2026, 12:19 p.m.