Triple

T1748170
Position Surface form Disambiguated ID Type / Status
Subject The Conjuring E38380 entity
Predicate musicBy P1952 FINISHED
Object Joseph Bishara E201566 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: Joseph Bishara | Statement: [The Conjuring, musicBy, Joseph Bishara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Bishara
Context triple: [The Conjuring, 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. Michel E. Mawad
    Michel E. Mawad is a Lebanese-American physician and academic leader who serves as president of the Lebanese American University.
  • C. Henry Barakat
    Henry Barakat was a prominent Egyptian film director and one of the leading figures of classical Egyptian cinema.
  • D. Eli Samaha
    Eli Samaha is an American film producer known for financing and producing a range of Hollywood genre films, often through independent and mid-budget studio projects.
  • E. Gilbert Melki
    Gilbert Melki is a French actor known for his versatile performances in film and television, including prominent roles in French dramas and comedies.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4ba8fc81909b538168a4403330 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.