Triple

T2192695
Position Surface form Disambiguated ID Type / Status
Subject Ernest E49898 entity
Predicate relatedName P3889 FINISHED
Object Earnest E49898 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: Earnest | Statement: [Ernest, relatedName, Earnest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earnest
Context triple: [Ernest, relatedName, Earnest]
  • A. Ernest chosen
    Ernest is a masculine given name of Germanic origin meaning "serious" or "resolute," borne by numerous notable figures across history and culture.
  • B. George Goring, Lord Goring
    George Goring, Lord Goring was a prominent Royalist general during the English Civil War, noted for his cavalry leadership and often undisciplined but daring conduct in battle.
  • C. Laurence
    Laurence is a masculine given name of Latin origin, commonly used in English-speaking countries.
  • D. Phineas Finn
    Phineas Finn is a political novel by Anthony Trollope that follows the career and personal struggles of an ambitious young Irishman in Victorian British Parliament.
  • E. Butler
    Butler is the party that served as the defendant in the landmark U.S. Supreme Court case United States v. Butler, which addressed the constitutionality of certain New Deal agricultural policies.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf48ceb48190956df39377df0548 completed March 7, 2026, 6:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db283cc8190b75870cb2aabc5af completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.