Triple

T8492282
Position Surface form Disambiguated ID Type / Status
Subject Ebling Mis E201001 entity
Predicate interactsWith P3970 FINISHED
Object Toran Darell E201000 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: Toran Darell | Statement: [Ebling Mis, interactsWith, Toran Darell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toran Darell
Context triple: [Ebling Mis, interactsWith, Toran Darell]
  • A. Toran Darell chosen
    Toran Darell is a central character in Isaac Asimov's Foundation series, notably appearing as a key figure in the novel "Foundation and Empire."
  • B. Darell
    Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
  • C. Deron Triff
    Deron Triff is a media entrepreneur and producer best known for co-creating the business podcast "Masters of Scale" and for his leadership roles in innovative storytelling and audio platforms.
  • D. Terius Nash
    Terius Nash, better known by his stage name The-Dream, is an American singer, songwriter, and record producer renowned for crafting numerous contemporary R&B and pop hits.
  • E. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe55cf5dc81908cad31ac53e15b46 completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88d3e2808190856ee01cc20fbaec completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:13 p.m.