Triple
T2008878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Out of Africa |
E43646
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | John Barry |
E95058
|
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: John Barry | Statement: [Out of Africa, musicBy, John Barry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Barry Context triple: [Out of Africa, musicBy, John Barry]
-
A.
John Barry
John Barry was an Irish-born American naval officer renowned as one of the founding captains of the United States Navy during the American Revolutionary era.
-
B.
John Barry
chosen
John Barry was a renowned British film composer best known for his iconic scores for the James Bond series and numerous other major motion pictures.
-
C.
John Barry
John Barry is an American naval historian and retired U.S. Navy rear admiral who also served on the Columbia Accident Investigation Board examining the 2003 Space Shuttle Columbia disaster.
-
D.
John Williams
John Williams is an acclaimed American composer and conductor best known for his iconic film scores for franchises such as Star Wars, Indiana Jones, Harry Potter, and many others.
-
E.
Maurice Jarre
Maurice Jarre was a French composer renowned for his sweeping, Oscar-winning film scores, particularly for epic movies such as "Lawrence of Arabia," "Doctor Zhivago," and "A Passage to India."
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae395a08190abf2077ad7a975ba |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.