Triple
T5695438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Ashley |
E125527
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Edward Ashley |
E125527
|
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: Edward Ashley | Statement: [Edward Ashley, name, Edward Ashley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Ashley Context triple: [Edward Ashley, name, Edward Ashley]
-
A.
Edward Ashley
chosen
Edward Ashley is an actor best known for his role in the historical adventure film "The Lost City of Z."
-
B.
Guy Woolford
Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
-
C.
Hugh Egerton
Hugh Egerton was a British historian and academic known for his influential work on the history of the British Empire and the Commonwealth.
-
D.
Philip Mannering
Philip Mannering is one of the main child protagonists in Enid Blyton’s "Adventure" series, known for his bravery, leadership, and love of animals.
-
E.
Philip Hardwick
Philip Hardwick was a prominent 19th-century English architect known for his influential industrial and railway architecture, including major works in London and Liverpool.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02409e70081909e47f2bd4a50fa12 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5635448190ada625283405752f |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.