Triple
T605664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle University |
E11587
|
entity |
| Predicate | hasViceChancellor |
P142
|
FINISHED |
| Object |
Chris Day
Chris Day is a British academic and medical researcher who serves as the Vice-Chancellor and President of Newcastle University.
|
E76891
|
NE FINISHED |
How this triple was built (4 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: Chris Day | Statement: [Newcastle University, hasViceChancellor, Chris Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Day Context triple: [Newcastle University, hasViceChancellor, Chris Day]
-
A.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
B.
Tim Hanson
Tim Hanson is an entrepreneur and technologist known for co-founding Neuralink, a neurotechnology company developing brain–computer interface devices.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Patrick Dodson
Patrick Dodson is an Australian Aboriginal leader, activist, and politician widely regarded as the "father of reconciliation" for his work advancing Indigenous rights and social justice.
-
E.
Mark Parsons
Mark Parsons is an English football manager best known for his successful tenure leading the Portland Thorns FC in the National Women's Soccer League.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chris Day Triple: [Newcastle University, hasViceChancellor, Chris Day]
Generated description
Chris Day is a British academic and medical researcher who serves as the Vice-Chancellor and President of Newcastle University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Day Target entity description: Chris Day is a British academic and medical researcher who serves as the Vice-Chancellor and President of Newcastle University.
-
A.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
B.
Tim Hanson
Tim Hanson is an entrepreneur and technologist known for co-founding Neuralink, a neurotechnology company developing brain–computer interface devices.
-
C.
Keith Fraase
Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
-
D.
Patrick Dodson
Patrick Dodson is an Australian Aboriginal leader, activist, and politician widely regarded as the "father of reconciliation" for his work advancing Indigenous rights and social justice.
-
E.
Mark Parsons
Mark Parsons is an English football manager best known for his successful tenure leading the Portland Thorns FC in the National Women's Soccer League.
- F. None of above. chosen
Provenance (5 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc7d88c81909fe493ac57fd784e |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a55546c93081909bf2fdd0144ae327 |
completed | March 2, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_69a555f4117481908b3af9d2ff2b79be |
completed | March 2, 2026, 9:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a55681af748190a295f60be4a8ff8f |
completed | March 2, 2026, 9:21 a.m. |
Created at: March 1, 2026, 7:35 p.m.