Triple
T2241025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Pinsent |
E49394
|
entity |
| Predicate | notableTeammate |
P2649
|
FINISHED |
| Object |
Ed Coode
Ed Coode is a British rower best known for winning Olympic gold in the men's coxless four at the 2004 Athens Games.
|
E247741
|
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: Ed Coode | Statement: [Matthew Pinsent, notableTeammate, Ed Coode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Coode Context triple: [Matthew Pinsent, notableTeammate, Ed Coode]
-
A.
Mark Gero
Mark Gero is an American sculptor and stage designer best known for his marriage to entertainer Liza Minnelli.
-
B.
Phillip Noyce
Phillip Noyce is an acclaimed Australian film director known for both influential early work in the Australian New Wave and successful Hollywood thrillers such as "Patriot Games" and "The Bone Collector."
-
C.
Hugh Keays-Byrne
Hugh Keays-Byrne was an English-Australian character actor best known for his villainous roles in the Mad Max film franchise, including his portrayal of Immortan Joe in Mad Max: Fury Road.
-
D.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
E.
Neil Farmer
Neil Farmer is a British author known for his works on organizational psychology and performance improvement.
- 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: Ed Coode Triple: [Matthew Pinsent, notableTeammate, Ed Coode]
Generated description
Ed Coode is a British rower best known for winning Olympic gold in the men's coxless four at the 2004 Athens Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ed Coode Target entity description: Ed Coode is a British rower best known for winning Olympic gold in the men's coxless four at the 2004 Athens Games.
-
A.
Mark Gero
Mark Gero is an American sculptor and stage designer best known for his marriage to entertainer Liza Minnelli.
-
B.
Phillip Noyce
Phillip Noyce is an acclaimed Australian film director known for both influential early work in the Australian New Wave and successful Hollywood thrillers such as "Patriot Games" and "The Bone Collector."
-
C.
Hugh Keays-Byrne
Hugh Keays-Byrne was an English-Australian character actor best known for his villainous roles in the Mad Max film franchise, including his portrayal of Immortan Joe in Mad Max: Fury Road.
-
D.
Don Nicholl
Don Nicholl was a British-born television writer and producer best known for co-creating influential American sitcoms in the 1970s and 1980s.
-
E.
Neil Farmer
Neil Farmer is a British author known for his works on organizational psychology and performance improvement.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0be7fb4819081a5f9c46b616bdb |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0eef98819083bede32490cba7e |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bbccdb08190a73fd20a110219d9 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c3d07a08190a6221a33fd02f73e |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.