Triple
T1051739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Gordon University |
E22713
|
entity |
| Predicate | hasPrincipal |
P161
|
FINISHED |
| Object |
Steve Olivier
Steve Olivier is an academic leader who serves as the principal and vice-chancellor of Robert Gordon University in Aberdeen, Scotland.
|
E129295
|
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: Steve Olivier | Statement: [Robert Gordon University, hasPrincipal, Steve Olivier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Olivier Context triple: [Robert Gordon University, hasPrincipal, Steve Olivier]
-
A.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
B.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
C.
Martin Roche
Martin Roche was an American architect best known as a partner in the influential Chicago firm Holabird & Roche, which helped shape the city’s early skyscraper architecture.
-
D.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
E.
Jeff Henley
Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
- 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: Steve Olivier Triple: [Robert Gordon University, hasPrincipal, Steve Olivier]
Generated description
Steve Olivier is an academic leader who serves as the principal and vice-chancellor of Robert Gordon University in Aberdeen, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Olivier Target entity description: Steve Olivier is an academic leader who serves as the principal and vice-chancellor of Robert Gordon University in Aberdeen, Scotland.
-
A.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
B.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
C.
Martin Roche
Martin Roche was an American architect best known as a partner in the influential Chicago firm Holabird & Roche, which helped shape the city’s early skyscraper architecture.
-
D.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
E.
Jeff Henley
Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b5312081909796df58fa7c1e9d |
completed | March 1, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5999d30881909bc9e2d8528b1b56 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a0047d481909989d470db7a3ae2 |
completed | March 7, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5a8c4be88190b53a42dd356b99fb |
completed | March 7, 2026, 5:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.