Triple

T8434355
Position Surface form Disambiguated ID Type / Status
Subject Clara Lemlich E199189 entity
Predicate givenName P17 FINISHED
Object Clara E94446 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: Clara | Statement: [Clara Lemlich, givenName, Clara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara
Context triple: [Clara Lemlich, givenName, Clara]
  • A. Clara chosen
    Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
  • B. Clara
    Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
  • C. Clara
    Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
  • D. Κλάρος
    Κλάρος (Claros) is an ancient Greek sanctuary in Ionia renowned for its oracle of Apollo, where the god was worshipped along with his mother Leto and sister Artemis.
  • E. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a905ac8190b1015e1da9b16938 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d71d9748190903ed97dde6d28f4 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.