Triple
T19829014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Fisher |
E476405
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Noel Fisher |
—
|
NE NERFINISHED |
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: Noel Fisher | Statement: [Noel Fisher, name, Noel Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noel Fisher Context triple: [Noel Fisher, name, Noel Fisher]
-
A.
Noel Fisher
chosen
Noel Fisher is a Canadian actor best known for his roles in television series such as Shameless and The Red Line, as well as films including Teenage Mutant Ninja Turtles.
-
B.
Noel “Detail” Fisher
Noel “Detail” Fisher is an American record producer and songwriter known for crafting hit tracks for major hip-hop and R&B artists.
-
C.
Lee Fisher
Lee Fisher is an American politician and attorney who has served as Ohio's lieutenant governor and attorney general, and later became a law school dean and civic leader.
-
D.
Noel Francis
Noel Francis was an American film actress of the early 1930s, known for her supporting roles in Hollywood crime dramas and pre-Code films.
-
E.
Chris Noel
Chris Noel is an American actress and former radio personality best known for her 1960s film roles and for hosting Armed Forces Radio broadcasts during the Vietnam War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ccd3748190adeaed9a431f8979 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.