Triple

T16983956
Position Surface form Disambiguated ID Type / Status
Subject Albert Bormann E412013 entity
Predicate givenName P17 FINISHED
Object Albert E270293 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: Albert | Statement: [Albert Bormann, givenName, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert
Context triple: [Albert Bormann, givenName, Albert]
  • A. Albert
    Albert is the given name of Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
  • B. Albert chosen
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • C. Albert
    Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
  • D. Albert
    Albert is a small town in northern France best known for its role on the Western Front during the First World War, particularly in the Battle of the Somme.
  • E. Albert
    Albert is a rational, steady, and respectable foil to Werther’s passionate temperament in Goethe’s novel "The Sorrows of Young Werther."
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18a0bf881908c449f499eb86495 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0f13c88190b55da5be40a0a476 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.