Triple

T19406460
Position Surface form Disambiguated ID Type / Status
Subject Benjamín E485474 entity
Predicate hasRelatedName P3889 FINISHED
Object Benyamin 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: Benyamin | Statement: [Benjamín, hasRelatedName, Benyamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benyamin
Context triple: [Benjamín, hasRelatedName, Benyamin]
  • A. Beniamin
    Beniamin is a rural village located in Armenia’s Shirak Province.
  • B. Benjamín chosen
    Benjamín is a masculine given name of Hebrew origin, commonly used in Spanish-speaking countries.
  • C. Benjamin Emanuel
    Benjamin Emanuel is an Israeli-born pediatrician and former member of the Irgun paramilitary group, best known as the father of Hollywood talent agent Ari Emanuel and former Chicago mayor Rahm Emanuel.
  • D. Benjamin
    Benjamin is the first name of American actor, comedian, and filmmaker Ben Falcone, known for his frequent collaborations with Melissa McCarthy.
  • E. Benjamin
    Benjamin is one of the twelve tribes of Israel, traditionally descended from Jacob’s youngest son and often associated with valor in battle and a favored status in biblical narratives.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6257af68881908147beedc29ff64c completed April 20, 2026, 1:09 p.m.
Created at: April 10, 2026, 1:36 p.m.