Triple
T19453227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prodigy (2019 film) |
E486668
|
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: [The Prodigy (2019 film), musicBy, Joseph Bishara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Bishara Context triple: [The Prodigy (2019 film), 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6339407a08190a3e0213bfbb4df3d |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.