Triple
T22654007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild |
E559173
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Jonathan Wild |
—
|
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: Jonathan Wild | Statement: [Wild, hasNotableBearer, Jonathan Wild]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Wild Context triple: [Wild, hasNotableBearer, Jonathan Wild]
-
A.
Jonathan Wild
chosen
Jonathan Wild was an infamous early 18th-century London crime boss and thief-taker who orchestrated and profited from organized crime while posing as a law enforcer.
-
B.
Ripper Roo
Ripper Roo is a deranged, hyperactive kangaroo villain from the Crash Bandicoot video game series, known for his manic laughter and explosive attacks.
-
C.
Will Turpin
Will Turpin is an American musician best known as the longtime bassist for the rock band Collective Soul.
-
D.
Fagin
Fagin is a cunning, manipulative leader of a gang of child pickpockets in the musical "Oliver!", adapted from Charles Dickens' novel "Oliver Twist."
-
E.
Richard Turpin
Richard Turpin was the long-term partner and later husband of English poet Valentine Ackland, with whom he shared a complex and unconventional domestic life.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17659e4dc81909cf6943c1c986ef9 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.