Triple

T21994604
Position Surface form Disambiguated ID Type / Status
Subject Insidious E543172 entity
Predicate musicBy P1952 FINISHED
Object Joseph Bishara 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: Joseph Bishara | Statement: [Insidious, musicBy, Joseph Bishara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Bishara
Context triple: [Insidious, musicBy, Joseph Bishara]
  • A. Joseph Bishara chosen
    Joseph Bishara is an American composer and actor best known for creating the unsettling musical scores and portraying demonic entities in modern horror films such as those in The Conjuring and Insidious franchises.
  • B. Jonathan Badeen
    Jonathan Badeen is an American entrepreneur best known as a co-founder and former Chief Strategy Officer of the dating app Tinder.
  • C. Emile Ghantous
    Emile Ghantous is a music producer and songwriter known for his work in contemporary R&B and pop with various mainstream artists.
  • D. Salim Boustany
    Salim Boustany was a prominent 19th-century Lebanese journalist, writer, and politician known for his contributions to Arabic literature and public life.
  • E. Paul Chahidi
    Paul Chahidi is a British actor known for his work in film, television, and theatre, including roles in political satire and period dramas.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:18 p.m.