Triple
T21148377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guido Fawkes |
E521119
|
entity |
| Predicate | parents |
P7318
|
FINISHED |
| Object | Edward Fawkes |
—
|
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: Edward Fawkes | Statement: [Guido Fawkes, parents, Edward Fawkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Fawkes Context triple: [Guido Fawkes, parents, Edward Fawkes]
-
A.
Guido Fawkes
chosen
Guido Fawkes was an English Catholic conspirator best known for his role in the failed 1605 Gunpowder Plot to blow up the Houses of Parliament in London.
-
B.
Owen Gore
Owen Gore was an actor known for his role in the British film "The Bespoke Overcoat."
-
C.
Don Moriarty
Don Moriarty is a screenwriter best known for co-writing the 1981 swashbuckling comedy film "Zorro, The Gay Blade."
-
D.
Jacob Moriarty
Jacob Moriarty is the birth name of Jacob Collier, the Grammy-winning English multi-instrumentalist, singer, and producer known for his complex harmonies and innovative arrangements.
-
E.
Simon Fields
Simon Fields is a British film and television producer known for his work on projects such as the comedy film "Funny Bones."
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723ffb578819080a000987459a8a5 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.