Triple
T4843216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavalier |
E108224
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Hoos
Hoos is a nickname for the University of Virginia Cavaliers and their fans, especially in the context of the school’s athletic teams.
|
E473704
|
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: Hoos | Statement: [Cavalier, associatedWith, Hoos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoos Context triple: [Cavalier, associatedWith, Hoos]
-
A.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
D.
Haise
Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
-
E.
Hinds
Hinds is an Irish surname most notably associated with acclaimed actor Ciarán Hinds.
- 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: Hoos Triple: [Cavalier, associatedWith, Hoos]
Generated description
Hoos is a nickname for the University of Virginia Cavaliers and their fans, especially in the context of the school’s athletic teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoos Target entity description: Hoos is a nickname for the University of Virginia Cavaliers and their fans, especially in the context of the school’s athletic teams.
-
A.
Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
D.
Haise
Haise is the surname of Fred Haise, the American astronaut and Apollo 13 lunar module pilot.
-
E.
Hinds
Hinds is an Irish surname most notably associated with acclaimed actor Ciarán Hinds.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cff1b008190b537feea0e0cc88f |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ccdf7a081909624f5cff787e688 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5dbb7abc819096f55477cab2d408 |
completed | March 21, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5e8540688190a6e475e128d79d2b |
completed | March 21, 2026, 9:01 a.m. |
Created at: March 20, 2026, 1:25 p.m.