Triple
T18244968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stellar Wind |
E436925
|
entity |
| Predicate | trainer |
P41095
|
FINISHED |
| Object |
Donald Warren
Donald Warren is an American Thoroughbred racehorse trainer best known for conditioning the champion mare Stellar Wind.
|
E1343675
|
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: Donald Warren | Statement: [Stellar Wind, trainer, Donald Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Warren Context triple: [Stellar Wind, trainer, Donald Warren]
-
A.
Michael Warren
Michael Warren is an American actor best known for his role as Officer Bobby Hill on the television series "Hill Street Blues."
-
B.
Warren Russell
Warren Russell is best known as the father of Katherine Russell, the widow of Boston Marathon bomber Tamerlan Tsarnaev.
-
C.
Kevin Warren
Kevin Warren is an American sports executive and attorney who became president and CEO of the Chicago Bears after previously serving as commissioner of the Big Ten Conference and a longtime NFL team executive.
-
D.
Warren Simmons
Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
-
E.
Mark Warren
Mark Warren is a screenwriter best known for his work on the 1985 comedy film "Summer Rental."
- 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: Donald Warren Triple: [Stellar Wind, trainer, Donald Warren]
Generated description
Donald Warren is an American Thoroughbred racehorse trainer best known for conditioning the champion mare Stellar Wind.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Warren Target entity description: Donald Warren is an American Thoroughbred racehorse trainer best known for conditioning the champion mare Stellar Wind.
-
A.
Michael Warren
Michael Warren is an American actor best known for his role as Officer Bobby Hill on the television series "Hill Street Blues."
-
B.
Warren Russell
Warren Russell is best known as the father of Katherine Russell, the widow of Boston Marathon bomber Tamerlan Tsarnaev.
-
C.
Kevin Warren
Kevin Warren is an American sports executive and attorney who became president and CEO of the Chicago Bears after previously serving as commissioner of the Big Ten Conference and a longtime NFL team executive.
-
D.
Warren Simmons
Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
-
E.
Mark Warren
Mark Warren is a screenwriter best known for his work on the 1985 comedy film "Summer Rental."
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e6fbac8190bf252c4337f50c29 |
completed | April 19, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055ba910448190a366b510ca9783d3 |
completed | May 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_6a055d0ae0bc81908490b1d8d02ba59d |
completed | May 14, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055dab68808190b06832dbcd7f0904 |
completed | May 14, 2026, 5:29 a.m. |
Created at: April 10, 2026, 10:33 a.m.