Triple
T19522499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Shore |
E488434
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Shore |
—
|
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: John Shore | Statement: [John Shore, name, John Shore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Shore Context triple: [John Shore, name, John Shore]
-
A.
John Shore
chosen
John Shore was a British colonial administrator who served as Governor-General of India and played a key role in shaping late 18th-century revenue and land settlement policies in Bengal.
-
B.
Henry Marshal
Henry Marshal was a medieval English nobleman and clergyman, best known as the Bishop of Exeter in the late 12th and early 13th centuries.
-
C.
George Hastings
George Hastings was an English nobleman of the Hastings family, known as the son and heir of Francis Hastings, 2nd Earl of Huntingdon.
-
D.
Sam Leitch
Sam Leitch was a British sports broadcaster best known for his influential work presenting football coverage on BBC television.
-
E.
Robert Cates
Robert Cates is known primarily as the husband of the late American actress Darlene Cates, who gained recognition for her role in the film "What's Eating Gilbert Grape."
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a1ae9881908dfdcc94490c57aa |
completed | April 20, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:40 p.m.