Triple
T18711657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Flynn |
E457527
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Alan Bradley |
—
|
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: Alan Bradley | Statement: [Kevin Flynn, ally, Alan Bradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Bradley Context triple: [Kevin Flynn, ally, Alan Bradley]
-
A.
Alan Bradley
chosen
Alan Bradley is a key character in the Tron franchise, known as the brilliant programmer who created the security program Tron and serves as a close ally of Kevin Flynn.
-
B.
Val McDermid
Val McDermid is a Scottish crime writer renowned for her psychological thrillers and influential contributions to contemporary crime fiction.
-
C.
Christopher Fowler
Christopher Fowler was a British author best known for his Bryant & May mystery novels and his work in horror and dark fantasy fiction.
-
D.
Susan Hill
Susan Hill is a British author best known for her ghost stories and novels, including the modern classic "The Woman in Black."
-
E.
Martha Grimes
Martha Grimes is an American author best known for her long-running series of British detective novels featuring Scotland Yard inspector Richard Jury.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671c53988190bfc132c853cebd02 |
completed | April 19, 2026, 11:37 p.m. |
Created at: April 10, 2026, 11:50 a.m.