Triple
T17662354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unbridled's Song |
E440283
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object |
Jim Ryerson
Jim Ryerson is an American Thoroughbred racehorse trainer best known for conditioning top-level runners such as Unbridled's Song.
|
E1287145
|
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 Ryerson | Statement: [Unbridled's Song, trainedBy, Jim Ryerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Ryerson Context triple: [Unbridled's Song, trainedBy, Jim Ryerson]
-
A.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
B.
Josh Scherr
Josh Scherr is a video game writer and narrative designer best known for his work on Naughty Dog titles, including the Uncharted series.
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
E.
Mike Dillard
Mike Dillard is an American entrepreneur, author, and online marketing expert known for his work in personal development and wealth-building education.
- 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 Ryerson Triple: [Unbridled's Song, trainedBy, Jim Ryerson]
Generated description
Jim Ryerson is an American Thoroughbred racehorse trainer best known for conditioning top-level runners such as Unbridled's Song.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Ryerson Target entity description: Jim Ryerson is an American Thoroughbred racehorse trainer best known for conditioning top-level runners such as Unbridled's Song.
-
A.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
B.
Josh Scherr
Josh Scherr is a video game writer and narrative designer best known for his work on Naughty Dog titles, including the Uncharted series.
-
C.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
D.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
E.
Mike Dillard
Mike Dillard is an American entrepreneur, author, and online marketing expert known for his work in personal development and wealth-building education.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efa9f4e08190bfe6e1ddd1097e86 |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f3b9f2308190ba9371fe9e2b458c |
completed | May 12, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f4400f7c81909b968474d2d31f7d |
completed | May 12, 2026, 9:34 a.m. |
Created at: April 10, 2026, 9:48 a.m.