Triple
T4940863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkton |
E110928
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Mitch Hippsley
Mitch Hippsley is a Canadian municipal politician who serves as the mayor of Yorkton, Saskatchewan.
|
E481480
|
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: Mitch Hippsley | Statement: [Yorkton, hasMayor, Mitch Hippsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitch Hippsley Context triple: [Yorkton, hasMayor, Mitch Hippsley]
-
A.
Jake Humphrey
Jake Humphrey is a British television presenter best known for his work on sports broadcasting, including football and Formula 1 coverage.
-
B.
Sam Phipps
Sam Phipps is an American saxophonist best known as a longtime member of the new wave band Oingo Boingo.
-
C.
Alex Hopper
Alex Hopper is the impulsive yet resourceful U.S. Navy officer who serves as the main human protagonist in the science fiction action film "Battleship."
-
D.
Jackson Hurst
Jackson Hurst is an American actor best known for his role as Grayson Kent on the television series "Drop Dead Diva."
-
E.
Tim Haines
Tim Haines is a British television producer and director best known for creating groundbreaking prehistoric and natural history series that blend documentary storytelling with cutting-edge visual effects.
- 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: Mitch Hippsley Triple: [Yorkton, hasMayor, Mitch Hippsley]
Generated description
Mitch Hippsley is a Canadian municipal politician who serves as the mayor of Yorkton, Saskatchewan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitch Hippsley Target entity description: Mitch Hippsley is a Canadian municipal politician who serves as the mayor of Yorkton, Saskatchewan.
-
A.
Jake Humphrey
Jake Humphrey is a British television presenter best known for his work on sports broadcasting, including football and Formula 1 coverage.
-
B.
Sam Phipps
Sam Phipps is an American saxophonist best known as a longtime member of the new wave band Oingo Boingo.
-
C.
Alex Hopper
Alex Hopper is the impulsive yet resourceful U.S. Navy officer who serves as the main human protagonist in the science fiction action film "Battleship."
-
D.
Jackson Hurst
Jackson Hurst is an American actor best known for his role as Grayson Kent on the television series "Drop Dead Diva."
-
E.
Tim Haines
Tim Haines is a British television producer and director best known for creating groundbreaking prehistoric and natural history series that blend documentary storytelling with cutting-edge visual effects.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd708ba9888190baf4e79c8f159e9f |
completed | March 20, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77bf1f0481909cd007c78096f7c5 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be7868a9148190b9f165fb2406dd9d |
completed | March 21, 2026, 10:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7916ff888190ba62e65b6422633c |
completed | March 21, 2026, 10:55 a.m. |
Created at: March 20, 2026, 1:31 p.m.