Triple
T19917614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Triple Crown |
E478704
|
entity |
| Predicate | notableWinner |
P2766
|
FINISHED |
| Object |
Count Fleet
Count Fleet was a legendary American Thoroughbred racehorse who dominated in 1943 by winning the U.S. Triple Crown.
|
E1402079
|
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: Count Fleet | Statement: [U.S. Triple Crown, notableWinner, Count Fleet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Count Fleet Context triple: [U.S. Triple Crown, notableWinner, Count Fleet]
-
A.
Battle Fleet
Battle Fleet was the main operational battle group of the United States Fleet in the early 20th century, comprising the Navy’s primary capital ships for major sea engagements.
-
B.
Grand Fleet
The Grand Fleet was the main British Royal Navy battle fleet during World War I, tasked with securing control of the North Sea and confronting the German High Seas Fleet.
-
C.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
D.
Fleet
Fleet is a publishing imprint of Little, Brown Book Group known for releasing a diverse range of literary and commercial fiction and non-fiction titles.
-
E.
Fleet
Fleet is the primary spacefaring military arm of the Terran Federation, responsible for defending its territories and projecting power across space.
- 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: Count Fleet Triple: [U.S. Triple Crown, notableWinner, Count Fleet]
Generated description
Count Fleet was a legendary American Thoroughbred racehorse who dominated in 1943 by winning the U.S. Triple Crown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Count Fleet Target entity description: Count Fleet was a legendary American Thoroughbred racehorse who dominated in 1943 by winning the U.S. Triple Crown.
-
A.
Battle Fleet
Battle Fleet was the main operational battle group of the United States Fleet in the early 20th century, comprising the Navy’s primary capital ships for major sea engagements.
-
B.
Grand Fleet
The Grand Fleet was the main British Royal Navy battle fleet during World War I, tasked with securing control of the North Sea and confronting the German High Seas Fleet.
-
C.
Fleet
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
D.
Fleet
Fleet is a publishing imprint of Little, Brown Book Group known for releasing a diverse range of literary and commercial fiction and non-fiction titles.
-
E.
Fleet
Fleet is the primary spacefaring military arm of the Terran Federation, responsible for defending its territories and projecting power across space.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65995bd60819097cfad003dd29731 |
completed | April 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea52592481909419476f335b6046 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07f2c7dec48190a698509098479a56 |
completed | May 16, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f376f5388190989a0460528945df |
completed | May 16, 2026, 4:32 a.m. |
Created at: April 10, 2026, 1:53 p.m.