Triple

T842489
Position Surface form Disambiguated ID Type / Status
Subject Samuel E18206 entity
Predicate hasVariant P455 FINISHED
Object Samuël E18206 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: Samuël | Statement: [Samuel, hasVariant, Samuël]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuël
Context triple: [Samuel, hasVariant, Samuël]
  • A. Samuel chosen
    Samuel is a masculine given name of Hebrew origin meaning "name of God" or "God has heard," widely used across many cultures and languages.
  • B. Samuel
    Samuel is the birth name of the famed American author Mark Twain, known for classics like "The Adventures of Tom Sawyer" and "Adventures of Huckleberry Finn."
  • C. Saul
    Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
  • D. Dávid
    Dávid is a given name, commonly used in Hungarian and other languages as a form of the name David.
  • E. Samson the Nazarite
    "Samson the Nazarite" is a 1927 historical novel by Zionist leader Ze'ev Jabotinsky that reimagines the biblical story of Samson as a modern nationalist and freedom-fighter narrative.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe8a0bc81909b54af465e67be1f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8472f188190b470893c76b20ccf completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:38 p.m.