Triple
T21417057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shopworn Angel (1938 film) |
E528330
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Edward Ward |
—
|
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: Edward Ward | Statement: [The Shopworn Angel (1938 film), musicBy, Edward Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Ward Context triple: [The Shopworn Angel (1938 film), musicBy, Edward Ward]
-
A.
Edward Ward
chosen
Edward Ward was an American film composer best known for scoring numerous Hollywood films in the 1930s and 1940s.
-
B.
John Ward
John Ward is an archaeologist and co-director of research at the ancient Egyptian site of Gebel el-Silsila.
-
C.
John Ward
John Ward was an American statesman from South Carolina who served as a delegate to the Continental Congress during the Revolutionary era.
-
D.
John Ward
John Ward is a cinematographer known for his work on the film "Final Cut."
-
E.
John Ward
John Ward is a musician best known for his role in the New York City rock band Elephant’s Memory, which was closely associated with John Lennon and Yoko Ono in the early 1970s.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2073a7881909adda8ed70a2cecd |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:46 p.m.