Triple
T15752568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish You Well |
E381881
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ned Bellamy |
E968225
|
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: Ned Bellamy | Statement: [Wish You Well, starring, Ned Bellamy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Bellamy Context triple: [Wish You Well, starring, Ned Bellamy]
-
A.
Ned Bellamy
chosen
Ned Bellamy is an American character actor known for his numerous supporting roles in film and television, including appearances in projects like "Being John Malkovich" and "Seinfeld."
-
B.
Ned Pines
Ned Pines was an American pulp magazine and comic book publisher best known for founding Standard/Better/Nedor Publications, which produced numerous popular science fiction and adventure titles in the mid-20th century.
-
C.
Ned Lynch
Ned Lynch is a fictional character played by actor George Dzundza, best known from his role in the 1990 film "The Handmaid's Tale."
-
D.
Ned Graham
Ned Graham is an American Christian minister and the youngest son of evangelist Billy Graham and author Ruth Bell Graham.
-
E.
Ned Benson
Ned Benson is an American filmmaker and screenwriter best known for his work on character-driven dramas and for co-writing the Marvel film "Black Widow."
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876f005c8190913dec49b839b9f9 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.