Triple

T15717438
Position Surface form Disambiguated ID Type / Status
Subject Gabi Wilson E380996 entity
Predicate notableWork P4 FINISHED
Object Focus E207700 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: Focus | Statement: [Gabi Wilson, notableWork, Focus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus
Context triple: [Gabi Wilson, notableWork, Focus]
  • A. Focus chosen
    "Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
  • B. Focus
    Focus is a 1961 jazz album by saxophonist Stan Getz, renowned for its innovative blend of cool jazz improvisation with string orchestra arrangements.
  • C. Focus
    Focus is a 2015 romantic crime comedy-drama film starring Will Smith and Margot Robbie as con artists entangled in high-stakes schemes and a complicated relationship.
  • D. Focus...
    Focus... is a production company known for creating the documentary titled "The Documentary."
  • E. Fokus
    Fokus is the Norwegian Intelligence Service’s publicly released annual assessment report on global security and threat developments.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7583609c8190a80421fce649900f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.