Triple

T870294
Position Surface form Disambiguated ID Type / Status
Subject Warner E18794 entity
Predicate canBeConfusedWith P2289 FINISHED
Object Warner (given name) E18794 NE FINISHED

How this triple was built (3 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: Warner (given name) | Statement: [Warner, canBeConfusedWith, Warner (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner (given name)
Context triple: [Warner, canBeConfusedWith, Warner (given name)]
  • A. Warner chosen
    Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
  • B. Walter
    Walter is a masculine given name of Germanic origin that has been widely used in English-speaking countries.
  • C. Harper
    Harper is a major American publishing house known for releasing a wide range of influential fiction and nonfiction works.
  • D. Asher
    Asher is a biblical figure, one of the twelve sons of Jacob and the ancestor of the Israelite Tribe of Asher.
  • E. Garner
    Garner is a surname most notably associated with John Nance Garner, the 32nd vice president of the United States under Franklin D. Roosevelt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeConfusedWith
Context triple: [Warner, canBeConfusedWith, Warner (given name)]
  • A. oftenConfusedWith chosen
    Indicates that one entity is frequently mistaken for or thought to be another due to similarity or ambiguity.
  • B. nameContrastsWith
    Indicates that one name is deliberately chosen or used to highlight a difference or opposition in meaning, style, or identity relative to another name.
  • C. canAlsoBe
    Indicates that something has an additional possible state, role, or classification beyond its primary one.
  • D. historicallyConfusedWith
    Indicates that one entity has been mistaken for or identified as another entity in historical records, interpretations, or traditions.
  • E. hasPronunciationDifferenceFrom
    Indicates that two linguistic items differ in how they are pronounced.
  • F. None of above.

Provenance (4 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac94d5ac81909feee876696da589 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3cb9a648190981182add42325f3 completed March 4, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a4aa89ca008190b50d061ac7fe19f9 completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.