Triple
T6487697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavalry FC |
E146555
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Ian Allison
Ian Allison is a Canadian sports executive best known for his leadership role as chairman of professional soccer club Cavalry FC.
|
E614860
|
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: Ian Allison | Statement: [Cavalry FC, chairman, Ian Allison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Allison Context triple: [Cavalry FC, chairman, Ian Allison]
-
A.
Allan McKeown
Allan McKeown was a British television producer and executive known for his work in comedy and entertainment, as well as his long marriage to comedian and actress Tracey Ullman.
-
B.
Ben Baillie
Ben Baillie is an editor known for his work on the publication Colossal.
-
C.
David Allison
David Allison is a technology entrepreneur best known as one of the founders of the early semiconductor company Signetics.
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Allan MacEachen
Allan MacEachen was a prominent Canadian Liberal politician and long-serving cabinet minister who played a key role in shaping Canada's domestic and foreign policy in the late 20th century.
- 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: Ian Allison Triple: [Cavalry FC, chairman, Ian Allison]
Generated description
Ian Allison is a Canadian sports executive best known for his leadership role as chairman of professional soccer club Cavalry FC.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ian Allison Target entity description: Ian Allison is a Canadian sports executive best known for his leadership role as chairman of professional soccer club Cavalry FC.
-
A.
Allan McKeown
Allan McKeown was a British television producer and executive known for his work in comedy and entertainment, as well as his long marriage to comedian and actress Tracey Ullman.
-
B.
Ben Baillie
Ben Baillie is an editor known for his work on the publication Colossal.
-
C.
David Allison
David Allison is a technology entrepreneur best known as one of the founders of the early semiconductor company Signetics.
-
D.
Ian Meakins
Ian Meakins is a British business executive known for leading major multinational companies, including serving as chairman of Unilever.
-
E.
Allan MacEachen
Allan MacEachen was a prominent Canadian Liberal politician and long-serving cabinet minister who played a key role in shaping Canada's domestic and foreign policy in the late 20th century.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a96a4048190a28dee5fd9258486 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70adfd6e48190badc31135f9b69a3 |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70bb0714c819094e80a2dfc960c99 |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c51e0148190be64afb56690b34f |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 22, 2026, 4:52 p.m.