Triple

T10049064
Position Surface form Disambiguated ID Type / Status
Subject Mike City E207692 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Donell Jones E162563 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: Donell Jones | Statement: [Mike City, hasCollaboratedWith, Donell Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donell Jones
Context triple: [Mike City, hasCollaboratedWith, Donell Jones]
  • A. Donell Jones chosen
    Donell Jones is an American R&B singer, songwriter, and producer best known for smooth, soulful hits like "Where I Wanna Be" and "U Know What's Up."
  • B. Jo Jones
    Jo Jones was an influential American jazz drummer best known for his work with the Count Basie Orchestra, where he helped define the swing era’s rhythmic style.
  • C. Tish Jones
    Tish Jones is a supporting character in the Doctor Who universe, known as the ambitious and resourceful sister of Martha Jones.
  • D. Francine Jones
    Francine Jones is a recurring character in the Doctor Who television series, best known as the mother of companion Martha Jones and for her involvement in the events surrounding the Master’s takeover of Earth.
  • E. Donna Dixon
    Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8cf4f0819084d831e1986790be completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a4064a48190b4fdb6bf3ea5af05 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:56 p.m.