Triple

T22795110
Position Surface form Disambiguated ID Type / Status
Subject Ludwig Lange E564219 entity
Predicate hasFamilyName P18 FINISHED
Object Lange NE NERFINISHED

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: Lange | Statement: [Ludwig Lange, hasFamilyName, Lange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lange
Context triple: [Ludwig Lange, hasFamilyName, Lange]
  • A. Lange chosen
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • B. Langeid
    Langeid is a small village in Bygland municipality in Agder county, southern Norway.
  • C. Langer
    Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • D. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • E. Lentegeur
    Lentegeur is a residential suburb within the Mitchells Plain area of Cape Town, South Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd81794819091b528600e322d7b completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.