Triple
T14942393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eragon |
E372562
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Hugh Johnson |
E847518
|
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: Hugh Johnson | Statement: [Eragon, cinematographyBy, Hugh Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugh Johnson Context triple: [Eragon, cinematographyBy, Hugh Johnson]
-
A.
Hugh Johnson
Hugh Johnson was an American soldier, lawyer, and government official best known for directing the National Recovery Administration during the New Deal era.
-
B.
Hugh Johnson
chosen
Hugh Johnson is a British cinematographer and film director known for his visually striking work on major feature films.
-
C.
Michael Atkinson
Michael Atkinson is a name shared by several notable individuals, including politicians, writers, and public figures in English-speaking countries.
-
D.
Bob Hartley
Bob Hartley is a Canadian professional ice hockey coach best known for leading the Colorado Avalanche to a Stanley Cup championship and later coaching several NHL teams, including the Atlanta Thrashers and Calgary Flames.
-
E.
Waldo Salt
Waldo Salt was an American screenwriter renowned for his Oscar-winning work on films such as "Midnight Cowboy" and "Coming Home."
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e929f3881908560b8428e72327d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.