Triple
T22432307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Health |
E554529
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Henry Lowther |
—
|
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: Henry Lowther | Statement: [National Health, hasMember, Henry Lowther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Lowther Context triple: [National Health, hasMember, Henry Lowther]
-
A.
Henry Lowther
chosen
Henry Lowther is an English jazz and session trumpeter known for his work across rock, pop, and jazz, including collaborations with prominent bands such as Procol Harum.
-
B.
John Lowin
John Lowin was a prominent early 17th-century English actor associated with Shakespeare’s company, known for performing major roles in Jacobean and Caroline drama.
-
C.
Ralph Hoagland
Ralph Hoagland is an American businessman best known as a co-founder of the major U.S. pharmacy and healthcare company CVS Health.
-
D.
Anthony C. Hearn
Anthony C. Hearn is a computer scientist best known for creating the REDUCE computer algebra system, one of the earliest and most influential symbolic mathematics programs.
-
E.
Martin Dyar
Martin Dyar is an Irish poet and writer known for his acclaimed debut collection "Maiden Names" and for winning several major poetry awards.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.