Triple
T18650051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man o’ War |
E455907
|
entity |
| Predicate | notableProgeny |
P50188
|
FINISHED |
| Object |
War Admiral
War Admiral was a legendary American Thoroughbred racehorse who won the U.S. Triple Crown in 1937 and became one of the most celebrated champions in racing history.
|
E1336713
|
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: War Admiral | Statement: [Man o’ War, notableProgeny, War Admiral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: War Admiral Context triple: [Man o’ War, notableProgeny, War Admiral]
-
A.
Admiral Grant
Admiral Grant is a fictional high-ranking naval officer portrayed by actor John Amos.
-
B.
Almirante
Almirante is a coastal town in Panama known as a key port and transport hub in the Bocas del Toro region.
-
C.
Nimitz
Nimitz is a German-origin surname most famously associated with U.S. Fleet Admiral Chester W. Nimitz, a leading naval commander in the Pacific during World War II.
-
D.
Morison
Morison is a surname most notably associated with Samuel Eliot Morison, the Pulitzer Prize–winning American historian and naval officer.
-
E.
Admiral
Admiral is an Austrian sports betting and gaming company known for its prominent sponsorships in professional football and other sports.
- 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: War Admiral Triple: [Man o’ War, notableProgeny, War Admiral]
Generated description
War Admiral was a legendary American Thoroughbred racehorse who won the U.S. Triple Crown in 1937 and became one of the most celebrated champions in racing history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: War Admiral Target entity description: War Admiral was a legendary American Thoroughbred racehorse who won the U.S. Triple Crown in 1937 and became one of the most celebrated champions in racing history.
-
A.
Admiral Grant
Admiral Grant is a fictional high-ranking naval officer portrayed by actor John Amos.
-
B.
Almirante
Almirante is a coastal town in Panama known as a key port and transport hub in the Bocas del Toro region.
-
C.
Nimitz
Nimitz is a German-origin surname most famously associated with U.S. Fleet Admiral Chester W. Nimitz, a leading naval commander in the Pacific during World War II.
-
D.
Morison
Morison is a surname most notably associated with Samuel Eliot Morison, the Pulitzer Prize–winning American historian and naval officer.
-
E.
Admiral
Admiral is an Austrian sports betting and gaming company known for its prominent sponsorships in professional football and other sports.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55010d27c8190aad8d3c9e8cd31b2 |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05171c9f5c8190a9314db8714efbd2 |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a051c3afa588190973993a9f3f73d04 |
completed | May 14, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a051cc49b9481909d931d90146c4628 |
completed | May 14, 2026, 12:52 a.m. |
Created at: April 10, 2026, 11:47 a.m.