Triple
T9465643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liverpool Institute |
E228262
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Peter Sissons |
E274301
|
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: Peter Sissons | Statement: [Liverpool Institute, notableAlumnus, Peter Sissons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Sissons Context triple: [Liverpool Institute, notableAlumnus, Peter Sissons]
-
A.
Peter Sissons
chosen
Peter Sissons was a prominent British journalist and television newsreader best known for presenting major news programmes on the BBC and ITN.
-
B.
Greg Mathieson
Greg Mathieson is an American keyboardist, composer, and producer known for his work in jazz, fusion, and pop music, collaborating with numerous prominent artists.
-
C.
Stephen Pycroft
Stephen Pycroft is a British businessman best known as the founder of the construction and consultancy company Mace Group.
-
D.
Pete Solley
Pete Solley is an English musician, producer, and keyboardist best known for his work with rock bands such as Procol Harum and his extensive career as a record producer.
-
E.
Stephen Enniss
Stephen Enniss is an American librarian and scholar of literary archives who leads the Harry Ransom Center at the University of Texas at Austin.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdad3c4819083b06f1b45acc85a |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189e601508190b116fca9854057bc |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 7:53 p.m.