Triple
T2017699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ithaca College |
E44032
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Bomber
Bomber is the nickname and mascot representing the athletic teams of Ithaca College.
|
E224579
|
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: Bomber | Statement: [Ithaca College, mascot, Bomber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bomber Context triple: [Ithaca College, mascot, Bomber]
-
A.
Bombers
Bombers was the nickname of the St. Louis Bombers, a former professional basketball team that played in the Basketball Association of America and early NBA.
-
B.
Bomber Wing 53
Bomber Wing 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known in German as Kampfgeschwader 53.
-
C.
Bockscar
Bockscar was the U.S. Army Air Forces B-29 Superfortress bomber that dropped the "Fat Man" nuclear weapon on Nagasaki during World War II.
-
D.
Barkhorn
Barkhorn is a German surname most notably associated with Gerhard Barkhorn, one of the highest-scoring fighter aces in aviation history during World War II.
-
E.
Whitley bomber
The Whitley bomber was a British twin-engine, long-range medium bomber used by the Royal Air Force in the early years of World War II for night bombing and maritime patrols.
- 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: Bomber Triple: [Ithaca College, mascot, Bomber]
Generated description
Bomber is the nickname and mascot representing the athletic teams of Ithaca College.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bomber Target entity description: Bomber is the nickname and mascot representing the athletic teams of Ithaca College.
-
A.
Bombers
Bombers was the nickname of the St. Louis Bombers, a former professional basketball team that played in the Basketball Association of America and early NBA.
-
B.
Bomber Wing 53
Bomber Wing 53 was a Luftwaffe bomber wing of Nazi Germany during World War II, known in German as Kampfgeschwader 53.
-
C.
Bockscar
Bockscar was the U.S. Army Air Forces B-29 Superfortress bomber that dropped the "Fat Man" nuclear weapon on Nagasaki during World War II.
-
D.
Barkhorn
Barkhorn is a German surname most notably associated with Gerhard Barkhorn, one of the highest-scoring fighter aces in aviation history during World War II.
-
E.
Whitley bomber
The Whitley bomber was a British twin-engine, long-range medium bomber used by the Royal Air Force in the early years of World War II for night bombing and maritime patrols.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ce71788190ac21beff10b08122 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af1547481909d5f2ca9c4715ace |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b78340c8190897a8cbba418cb00 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c01b30c81908394e31aa3238bfa |
completed | March 8, 2026, 11:53 p.m. |
Created at: March 4, 2026, 7:38 p.m.