Triple

T6391237
Position Surface form Disambiguated ID Type / Status
Subject Glenn Ficarra E143830 entity
Predicate coDirected P7732 FINISHED
Object Focus E537200 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: [Glenn Ficarra, coDirected, Focus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focus
Context triple: [Glenn Ficarra, coDirected, Focus]
  • A. Focus
    "Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
  • B. Focus chosen
    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.
  • C. Fokus
    Fokus is the Norwegian Intelligence Service’s publicly released annual assessment report on global security and threat developments.
  • D. In Focus
    In Focus is a political commentary and news analysis program that airs on the conservative cable channel One America News Network.
  • E. Attention
    "Attention" is a 2017 pop song by American singer-songwriter Charlie Puth, known for its catchy bassline, minimalist production, and themes of emotional manipulation in relationships.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687c7fdc819099cbbb937dec215e completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640ba9e04819098713f5bea7ebdbc completed March 27, 2026, 8:32 a.m.
Created at: March 22, 2026, 4:34 p.m.