Triple

T17026711
Position Surface form Disambiguated ID Type / Status
Subject Grandmamma Sesemann E413082 entity
Predicate influences P9 FINISHED
Object Clara Sesemann E1247777 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 Sesemann | Statement: [Grandmamma Sesemann, influences, Clara Sesemann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Sesemann
Context triple: [Grandmamma Sesemann, influences, Clara Sesemann]
  • A. Clara Sesemann chosen
    Clara Sesemann is a kind, wheelchair-bound girl from Frankfurt who becomes Heidi’s close friend in Johanna Spyri’s classic novel "Heidi."
  • B. Clara Beyer
    Clara Beyer is known as the daughter of American politician and diplomat Don Beyer.
  • C. Clara Dawes
    Clara Dawes is a passionate, independent suffragette and love interest of Paul Morel in D. H. Lawrence’s novel "Sons and Lovers."
  • D. Clara Pollitzer
    Clara Pollitzer was an American educator and women's rights advocate associated with early 20th-century suffrage and reform movements.
  • E. Clara Charlotte von Schmid
    Clara Charlotte von Schmid was the wife of Norwegian romantic nationalist painter Adolph Tidemand.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d5ed388190871aa738cac04b65 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139ef70208190b26029511e91afb0 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:33 a.m.