Triple
T12522424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings |
E299350
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Maurice Wright |
E719466
|
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: Maurice Wright | Statement: [Wings, editedBy, Maurice Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maurice Wright Context triple: [Wings, editedBy, Maurice Wright]
-
A.
Maurice Wright
chosen
Maurice Wright is a film editor best known for his work on the classic 1932 American drama film "American Madness," directed by Frank Capra.
-
B.
Maurice Hughes
Maurice Hughes is known primarily as the son of English novelist and social reformer Thomas Hughes.
-
C.
Maurice Noble
Maurice Noble was an influential American animation layout and background artist best known for his innovative visual design work on classic Warner Bros. cartoons.
-
D.
Theodore Paul Wright
Theodore Paul Wright was an American aeronautical engineer and educator best known for formulating "Wright's Law," which describes the learning curve effect in manufacturing and cost reduction.
-
E.
William Edmonds
William Edmonds is a person notable enough to be recognized as a significant bearer of the surname Edmonds, though specific widely known achievements or roles are not clearly established from this context alone.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.