Triple
T22760553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister Johnson |
E562974
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Bella Enahoro |
—
|
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: Bella Enahoro | Statement: [Mister Johnson, starredActor, Bella Enahoro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bella Enahoro Context triple: [Mister Johnson, starredActor, Bella Enahoro]
-
A.
Bella Enahoro
chosen
Bella Enahoro is a British actress best known for her role in the television drama series "Pie in the Sky."
-
B.
Mia Pascoe
Mia Pascoe is known as the wife of American Olympic alpine ski champion Ted Ligety.
-
C.
Millie McGonigle
Millie McGonigle is the fictional protagonist of the 1948 romantic comedy film "The Mating of Millie," portrayed as an independent working woman navigating love and societal expectations.
-
D.
Amelia Crouch
Amelia Crouch is a British actress known for her roles as a child and young teen in horror and fantasy films and television series.
-
E.
Kate Bell
Kate Bell is an Australian actress best known for her role in the psychological drama film "In Her Skin."
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7c45b881908b29ba1439038789 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:26 p.m.