Triple
T22982029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doa al-Karawan |
E571493
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | André Ryder |
—
|
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: André Ryder | Statement: [Doa al-Karawan, musicBy, André Ryder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Ryder Context triple: [Doa al-Karawan, musicBy, André Ryder]
-
A.
Andre Ryder
chosen
Andre Ryder was a prominent film composer known for his influential scores in mid-20th-century Egyptian cinema.
-
B.
Jack La Rue
Jack La Rue was an American character actor best known for his tough-guy and villain roles in Hollywood films of the 1930s and 1940s.
-
C.
Peter Rive
Peter Rive is a technology entrepreneur best known as a co-founder and former executive of the solar energy services company SolarCity.
-
D.
Tony Mordente
Tony Mordente is an American dancer, choreographer, and television director best known for his work on Broadway and in the film adaptation of "West Side Story."
-
E.
Max Reede
Max Reede is the young son whose wish causes his lawyer father to be unable to lie in the comedy film "Liar Liar."
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829645f88190aea1b96ea595ff60 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.