Triple
T6238772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Stevens |
E139542
|
entity |
| Predicate | notableHorseRidden |
P55479
|
FINISHED |
| Object |
Da Hoss
Da Hoss was a celebrated American Thoroughbred racehorse best known for his remarkable two-time victory in the Breeders’ Cup Mile, achieved three years apart.
|
E577617
|
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: Da Hoss | Statement: [Gary Stevens, notableHorseRidden, Da Hoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Hoss Context triple: [Gary Stevens, notableHorseRidden, Da Hoss]
-
A.
Daule
Daule is a town and canton in coastal Ecuador known for its rice production and location within the Guayas Province.
-
B.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
C.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
D.
Haiman
Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
-
E.
Hadda
Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
- 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: Da Hoss Triple: [Gary Stevens, notableHorseRidden, Da Hoss]
Generated description
Da Hoss was a celebrated American Thoroughbred racehorse best known for his remarkable two-time victory in the Breeders’ Cup Mile, achieved three years apart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Da Hoss Target entity description: Da Hoss was a celebrated American Thoroughbred racehorse best known for his remarkable two-time victory in the Breeders’ Cup Mile, achieved three years apart.
-
A.
Daule
Daule is a town and canton in coastal Ecuador known for its rice production and location within the Guayas Province.
-
B.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
-
C.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
D.
Haiman
Haiman is a surname and given name that serves as a variant form of "Hyman," often associated with individuals of Jewish heritage.
-
E.
Hadda
Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20e01845081909c54fe938600be3e |
completed | March 24, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_69c215ff293c8190a79dd9246c38880d |
completed | March 24, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2167ef4748190bebcf28468a696bc |
completed | March 24, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4:23 p.m.