Triple
T5269001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susanna Hall |
E119209
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | John Hall |
E475447
|
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: John Hall | Statement: [Susanna Hall, spouse, John Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hall Context triple: [Susanna Hall, spouse, John Hall]
-
A.
John Hall
chosen
John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
-
B.
Hugh McDowell
Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
-
C.
John Palmer
John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
-
D.
John Bacon
John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
-
E.
Charles Wood
Charles Wood was a British playwright and screenwriter known for his sharp, satirical writing and influential work in film, television, and theatre.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bfdc9bc81908307f44f32fe9338 |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe924e80819083fbc761900e263c |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.