Triple
T21961464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Charles |
E542339
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Nick Charles |
—
|
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: Nick Charles | Statement: [Nora Charles, associatedWith, Nick Charles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Charles Context triple: [Nora Charles, associatedWith, Nick Charles]
-
A.
Nick Charles
chosen
Nick Charles is a witty, retired private detective best known as the charming protagonist of Dashiell Hammett’s mystery novel and film series "The Thin Man."
-
B.
Paul Wiggin
Paul Wiggin is a former American football defensive end and coach best known for his long NFL playing career with the Cleveland Browns and subsequent coaching roles at both the professional and college levels.
-
C.
Charlie Hume
Charlie Hume is the son of Desmond Hume in the television series "Lost."
-
D.
Johnny Pearson
Johnny Pearson was a British composer, pianist, and bandleader best known for his prolific library music work and memorable television themes.
-
E.
Charlie Peters
Charlie Peters is an American screenwriter and playwright known for his work on films such as "Three Men and a Little Lady."
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12455e99c819092ec59fe571f814e |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.