Triple
T20462367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detective Story |
E501956
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jim McLeod
Jim McLeod is a fictional detective who serves as the central protagonist in the crime narrative "Detective Story."
|
E1453746
|
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: Jim McLeod | Statement: [Detective Story, mainCharacter, Jim McLeod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim McLeod Context triple: [Detective Story, mainCharacter, Jim McLeod]
-
A.
Donald McLeod
Donald McLeod was a Loyalist officer in the American Revolutionary War who led British-aligned forces at the Battle of Moore’s Creek Bridge in 1776.
-
B.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
-
C.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
D.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
E.
Doug McMillan
Doug McMillan is an American business executive best known as the president and chief executive officer of Walmart Inc.
- 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: Jim McLeod Triple: [Detective Story, mainCharacter, Jim McLeod]
Generated description
Jim McLeod is a fictional detective who serves as the central protagonist in the crime narrative "Detective Story."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim McLeod Target entity description: Jim McLeod is a fictional detective who serves as the central protagonist in the crime narrative "Detective Story."
-
A.
Donald McLeod
Donald McLeod was a Loyalist officer in the American Revolutionary War who led British-aligned forces at the Battle of Moore’s Creek Bridge in 1776.
-
B.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
-
C.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
D.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
E.
Doug McMillan
Doug McMillan is an American business executive best known as the president and chief executive officer of Walmart Inc.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a761648190b24cf4bb90a8abb1 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090ae8c1848190893d765e75f74225 |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090bf30e048190a2c81dece02c997d |
completed | May 17, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090d0d52fc8190aed0a475f3424213 |
completed | May 17, 2026, 12:34 a.m. |
Created at: April 16, 2026, 11:33 a.m.