Triple
T8186465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony John Hancock |
E191196
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Anthony John Hancock |
E191196
|
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: Anthony John Hancock | Statement: [Anthony John Hancock, name, Anthony John Hancock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony John Hancock Context triple: [Anthony John Hancock, name, Anthony John Hancock]
-
A.
Anthony John Hancock
chosen
Anthony John Hancock was a celebrated English comedian and actor best known for his influential mid-20th-century radio and television series "Hancock's Half Hour."
-
B.
Dennis Higgs
Dennis Higgs is a biologist known for his research in molecular evolution and his work as a professor at the University of Windsor.
-
C.
John Hadden
John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
-
D.
Anthony Hancock
Anthony Hancock is a bumbling, downtrodden everyman character portrayed by British comedian Tony Hancock, known for his pessimistic wit and social awkwardness.
-
E.
John Heath
John Heath is a personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c52407c8190bd366fce6d4e02cd |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced7a109c819092d43d9e3cfc0706 |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:41 p.m.