Triple
T18168696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meet John Doe |
E434962
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | D. B. Norton |
—
|
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: D. B. Norton | Statement: [Meet John Doe, mainCharacter, D. B. Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D. B. Norton Context triple: [Meet John Doe, mainCharacter, D. B. Norton]
-
A.
D. B. Norton
chosen
D. B. Norton is the wealthy, manipulative newspaper magnate and political power broker who serves as the main antagonist in the 1941 film "Meet John Doe."
-
B.
S. P. Norton
S. P. Norton is a mathematician known for his contributions to the theory and construction of the Monster group and related areas in group theory.
-
C.
T. C. Morrow
T. C. Morrow was a businessman best known for owning the Houston Mavericks professional basketball franchise in the late 1960s American Basketball Association.
-
D.
D.L. Brock
D.L. Brock is a character from the soap opera "General Hospital," known for being romantically involved with Bobbie Spencer.
-
E.
K.R. Dwyer
K.R. Dwyer is a pseudonym used by American suspense and horror novelist Dean Koontz for some of his early thriller works.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df53ef148190a32aad0253547645 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.