Triple
T15993613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Tate |
E387902
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Henry Tate |
E387902
|
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: Henry Tate | Statement: [Henry Tate, name, Henry Tate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Tate Context triple: [Henry Tate, name, Henry Tate]
-
A.
Henry Tate
chosen
Henry Tate was a British sugar magnate and philanthropist best known for founding the Tate Gallery in London.
-
B.
Henry Burden
Henry Burden was a 19th-century Scottish-American industrialist and inventor known for revolutionizing iron manufacturing, particularly through his patented horseshoe machine and development of the Burden Iron Works in Troy, New York.
-
C.
Henry Mercer
Henry Mercer was an American archaeologist, tile-maker, and collector known for his handcrafted Moravian tiles and the concrete Mercer Museum and Fonthill Castle in Doylestown, Pennsylvania.
-
D.
Arthur Clutterbuck
Arthur Clutterbuck is the son of British actor Andrew Lincoln, best known for his role in the television series "The Walking Dead."
-
E.
John Twist
John Twist was an American screenwriter active during Hollywood's mid-20th century studio era, contributing scripts to numerous feature films.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785347081908831b4cbc9a2dd45 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d5d72081908aa235c5ad9b5707 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.