Triple
T12030199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Lobo |
E286383
|
entity |
| Predicate | filmEditingBy |
P14416
|
FINISHED |
| Object | John Woodcock |
E958712
|
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 Woodcock | Statement: [Rio Lobo, filmEditingBy, John Woodcock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Woodcock Context triple: [Rio Lobo, filmEditingBy, John Woodcock]
-
A.
John Woodcock
chosen
John Woodcock is a film editor best known for his work on movies such as "The Nutty Professor."
-
B.
Jervis Johnson
Jervis Johnson is a prominent British game designer best known for creating and developing tabletop wargames and board games for Games Workshop, including key contributions to Warhammer and related systems.
-
C.
Edward Linden
Edward Linden was an American cinematographer best known for his work on classic early Hollywood films, including the pioneering visual effects and photography of the 1933 monster movie "King Kong."
-
D.
Ralph Brownrigg
Ralph Brownrigg was a 17th-century English clergyman and academic who served as Bishop of Exeter in the Church of England.
-
E.
Arthur Pierson
Arthur Pierson was an American actor and later film and television director active in the early to 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f646423c819088575a7032e6a9a3 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.