Triple
T10211397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Racketeer |
E242335
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Malcolm Bannister |
E850159
|
NE FINISHED |
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: Malcolm Bannister | Statement: [The Racketeer, hasCharacter, Malcolm Bannister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Bannister Context triple: [The Racketeer, hasCharacter, Malcolm Bannister]
-
A.
Malcolm Bannister
chosen
Malcolm Bannister is a former attorney turned imprisoned whistleblower who becomes the clever, morally ambiguous protagonist of John Grisham’s legal thriller "The Racketeer."
-
B.
Malcolm Blight
Malcolm Blight is a legendary Australian rules footballer and coach, renowned for his brilliant playing career and innovative coaching in the VFL/AFL.
-
C.
Malcolm Weir
Malcolm Weir is a British scientist and biotechnology entrepreneur best known as the founder of the drug discovery company Heptares Therapeutics.
-
D.
Malcolm Dixon
Malcolm Dixon was a British actor and dwarf performer best known for his roles in fantasy and science-fiction films of the late 20th century.
-
E.
Malcolm Delaney
Malcolm Delaney is an American professional basketball player known for his standout college career at Virginia Tech and his subsequent play in the NBA and top European leagues.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7f6730081908b941eaeb6c00993 |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:01 a.m.