Triple

T17292847
Position Surface form Disambiguated ID Type / Status
Subject Albert Speer Jr. E419829 entity
Predicate familyName P18 FINISHED
Object Speer 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: Speer | Statement: [Albert Speer Jr., familyName, Speer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speer
Context triple: [Albert Speer Jr., familyName, Speer]
  • A. Speer chosen
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • B. Speer Bullets
    Speer Bullets is an American ammunition manufacturer best known for producing high-quality bullets and loaded cartridges for hunting, law enforcement, and sport shooting.
  • C. Walther
    Walther is a given name and surname of Germanic origin, commonly used in German-speaking countries and occasionally in other parts of Europe.
  • D. Madsen
    Madsen is a Danish-origin surname borne by various notable individuals across fields such as acting, sports, and politics.
  • E. Bernthal
    Bernthal is a surname most notably associated with American actor Jon Bernthal, known for his intense roles in film and television.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43785383881908ec61ddf5e2193cf completed April 19, 2026, 2:01 a.m.
Created at: April 10, 2026, 5:40 a.m.