Triple
T11990870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumbo (1941 film) |
E285400
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Oliver Wallace |
E31230
|
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: Oliver Wallace | Statement: [Dumbo (1941 film), musicBy, Oliver Wallace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Wallace Context triple: [Dumbo (1941 film), musicBy, Oliver Wallace]
-
A.
Oliver Wallace
chosen
Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
-
B.
Oliver Johnson
Oliver Johnson was a prominent 19th-century American abolitionist, editor, and reformer active in the anti-slavery movement.
-
C.
Oliver Lacon
Oliver Lacon is a senior British intelligence bureaucrat in John le Carré’s George Smiley novels, serving as a high-ranking civil servant overseeing the Secret Service.
-
D.
Oliver Butcher
Oliver Butcher is a screenwriter known for co-writing films such as the thriller "Message from the King."
-
E.
Oliver Smith
Oliver Smith was a prominent American theatrical producer and scenic designer known for his influential work on numerous Broadway musicals and plays in the mid-20th century.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47257911481909d6bd72535eefdbd |
completed | May 1, 2026, 9:28 a.m. |
Created at: April 8, 2026, 9:46 p.m.