Triple

T19200440
Position Surface form Disambiguated ID Type / Status
Subject Randolph E470091 entity
Predicate hasCognate P2525 FINISHED
Object Randulf 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: Randulf | Statement: [Randolph, hasCognate, Randulf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randulf
Context triple: [Randolph, hasCognate, Randulf]
  • A. Randulf chosen
    Randulf is a masculine given name of Germanic origin, typically interpreted to mean "shield-wolf" or "strong wolf."
  • B. Wulfert
    Wulfert is a surname of likely European origin associated with individuals such as Natalia Sergeyevna Wulfert.
  • C. Wulfram
    Wulfram is an alternative spelling or variant form of the name Wolfram, which is associated with both a given name and the chemical element tungsten.
  • D. Godfrey
    Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
  • E. Godfrey
    Godfrey is an American comedian and actor known for his stand-up work and film roles, including a prominent appearance in the comedy movie "Soul Plane."
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f997879c8190ae7618d1ba0cede9 completed April 20, 2026, 10:01 a.m.
Created at: April 10, 2026, 12:07 p.m.