Triple

T17755380
Position Surface form Disambiguated ID Type / Status
Subject Walter Speer E443218 entity
Predicate name P16 FINISHED
Object Walter 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: Walter Speer | Statement: [Walter Speer, name, Walter Speer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Speer
Context triple: [Walter Speer, name, Walter Speer]
  • A. Walter Speer chosen
    Walter Speer is a notable individual who shares the Speer surname, recognized as a distinct bearer of that family name.
  • B. Werner Speer
    Werner Speer is a relatively obscure individual known primarily for sharing the Speer surname rather than for widely documented public achievements.
  • C. Albert Speer Jr.
    Albert Speer Jr. was a German architect and urban planner known for his large-scale city development projects and for being the son of Adolf Hitler’s chief architect, Albert Speer.
  • D. Hugo Speer
    Hugo Speer is an English actor best known for his role in the hit British comedy film "The Full Monty" and for numerous appearances in television dramas.
  • E. Emil Speer
    Emil Speer is an individual notable primarily for sharing the surname associated with the historically prominent Speer family.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841e7050819083a4e638ca7484f7 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.