Triple
T22760522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister Johnson |
E562974
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Mister Johnson |
—
|
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: Mister Johnson | Statement: [Mister Johnson, title, Mister Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mister Johnson Context triple: [Mister Johnson, title, Mister Johnson]
-
A.
Mister Johnson
chosen
Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
-
B.
Mr. Johnson
Mr. Johnson is a fictional character who appears in the work titled "The Psychiatrist."
-
C.
Mr. Bryles
Mr. Bryles is the central character in the 1999-set story "Class of 1999," around whom the main events and conflicts revolve.
-
D.
Mr. Peebles
Mr. Peebles is the pet shop owner in the classic Hanna-Barbera cartoon "Magilla Gorilla," known for repeatedly trying to sell the lovable gorilla Magilla.
-
E.
Mr. Robinson
Mr. Robinson is the father of Elaine Robinson, a central character in the story of "The Graduate."
- 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.