Triple
T1641607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Bristol |
E35482
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object | Susan Blackmore |
E16539
|
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: Susan Blackmore | Statement: [University of Bristol, hasNotableAlumni, Susan Blackmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Blackmore Context triple: [University of Bristol, hasNotableAlumni, Susan Blackmore]
-
A.
Susan Blackmore
chosen
Susan Blackmore is a British psychologist, writer, and skeptic best known for her work on consciousness, memes, and the scientific investigation of paranormal claims.
-
B.
Susan Sherwin
Susan Sherwin is a Canadian feminist philosopher and bioethicist known for her influential work on ethics, health care, and women's autonomy.
-
C.
Jill Esmond
Jill Esmond was a British stage and film actress best known as the first wife of Laurence Olivier and for her work in early 20th-century theatre and cinema.
-
D.
Maria Newman
Maria Newman is an American composer and violinist known for her concert and film music, and as a member of the prominent Newman family of film composers.
-
E.
Wendy Hall
Wendy Hall is a pioneering British computer scientist and professor known for her influential work in hypermedia, the World Wide Web, and web science.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a3e254081908b7c4a9dfeafc4f8 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad609cf8488190ba334bdff2c5e78d |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.