Triple

T8171967
Position Surface form Disambiguated ID Type / Status
Subject Carl Viggo Lange E190842 entity
Predicate familyName P18 FINISHED
Object Lange E92052 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: Lange | Statement: [Carl Viggo Lange, familyName, Lange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lange
Context triple: [Carl Viggo Lange, familyName, Lange]
  • A. Lange chosen
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • B. Langer
    Langer is a surname most notably associated with Robert Langer, a pioneering American chemical engineer and prolific inventor in biotechnology and drug delivery.
  • C. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • D. Lansen
    Lansen is the NATO reporting name for the Swedish Saab 32, a Cold War-era jet aircraft used primarily for attack and reconnaissance roles.
  • E. Lazgi
    Lazgi is a vibrant and expressive traditional Uzbek dance known for its rapid hand movements, lively rhythms, and roots in the cultural heritage of the Khorezm region.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4807c9808190ad91a9c688a4c7fd completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf65ed508190abb60f9189f43e5c completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:39 p.m.