Triple
T21207643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Byrne |
E522629
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Andy Crawford |
—
|
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: Andy Crawford | Statement: [Peter Byrne, notableRole, Andy Crawford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Crawford Context triple: [Peter Byrne, notableRole, Andy Crawford]
-
A.
Andy Crawford
chosen
Andy Crawford is a young police constable who serves as one of the main supporting officers in the long-running British television series "Dixon of Dock Green."
-
B.
Dave Crawford
Dave Crawford is an American songwriter and producer best known for his work in soul and R&B music.
-
C.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
D.
Ian Crafford
Ian Crafford is a film editor best known for his work on the family fantasy movie "The Indian in the Cupboard."
-
E.
Greg Crawford
Greg Crawford is an American academic leader and physicist best known for serving as the president of Miami University in Ohio.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:24 p.m.