Triple
T742752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Mule |
E15277
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Navy Goat
Navy Goat is the live animal mascot of the United States Naval Academy, traditionally featured at Navy sporting events and especially known for its role in the Army–Navy football rivalry.
|
E87452
|
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: Navy Goat | Statement: [Army Mule, relatedTo, Navy Goat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navy Goat Context triple: [Army Mule, relatedTo, Navy Goat]
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Angus
Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
-
C.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
D.
Lick
Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
-
E.
Buffalo Bull
Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
- 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: Navy Goat Triple: [Army Mule, relatedTo, Navy Goat]
Generated description
Navy Goat is the live animal mascot of the United States Naval Academy, traditionally featured at Navy sporting events and especially known for its role in the Army–Navy football rivalry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navy Goat Target entity description: Navy Goat is the live animal mascot of the United States Naval Academy, traditionally featured at Navy sporting events and especially known for its role in the Army–Navy football rivalry.
-
A.
Mouton
Mouton is an academic publishing house known for its influential works in linguistics and related fields.
-
B.
Angus
Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
-
C.
Barkley
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
D.
Lick
Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
-
E.
Buffalo Bull
Buffalo Bull is the official mascot character of the Japanese professional baseball team Orix Buffaloes.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a63f9288190b86e4a75467acce0 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64aef14c48190b947a4c3a7becc0f |
completed | March 3, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64b80d5fc81909e69832457569064 |
completed | March 3, 2026, 2:46 a.m. |
Created at: March 1, 2026, 7:37 p.m.