Triple
T1232734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McMaster University |
E26479
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object |
David Farrar
David Farrar is a Canadian academic and administrator who serves as the president and vice-chancellor of McMaster University.
|
E149096
|
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: David Farrar | Statement: [McMaster University, president, David Farrar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Farrar Context triple: [McMaster University, president, David Farrar]
-
A.
Ted Hardie
Ted Hardie is an Internet engineering expert and long-time IETF leader known for his work on real-time communications and web technologies.
-
B.
Ivor Novello
Ivor Novello was a Welsh composer, singer, and actor of the early 20th century, renowned for his popular songs and musical theatre works in Britain.
-
C.
Garth Stevenson
Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
-
D.
George Black
George Black is a relatively common personal name shared by multiple notable individuals across fields such as politics, business, and the arts.
-
E.
Andrew Darwin
Andrew Darwin is an individual notable for bearing the Darwin surname, historically associated with the famous naturalist Charles Darwin.
- 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: David Farrar Triple: [McMaster University, president, David Farrar]
Generated description
David Farrar is a Canadian academic and administrator who serves as the president and vice-chancellor of McMaster University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Farrar Target entity description: David Farrar is a Canadian academic and administrator who serves as the president and vice-chancellor of McMaster University.
-
A.
Ted Hardie
Ted Hardie is an Internet engineering expert and long-time IETF leader known for his work on real-time communications and web technologies.
-
B.
Ivor Novello
Ivor Novello was a Welsh composer, singer, and actor of the early 20th century, renowned for his popular songs and musical theatre works in Britain.
-
C.
Garth Stevenson
Garth Stevenson is a Canadian-born double bassist and composer known for his atmospheric, nature-inspired film scores and solo work.
-
D.
George Black
George Black is a relatively common personal name shared by multiple notable individuals across fields such as politics, business, and the arts.
-
E.
Andrew Darwin
Andrew Darwin is an individual notable for bearing the Darwin surname, historically associated with the famous naturalist Charles Darwin.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5b40208190b115a6a344402caf |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2f8a4208190bfcfeccc886de987 |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb3b3e1cc819095590887896a67aa |
completed | March 7, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb42f96f88190909efa3342b88e70 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:47 p.m.