Triple
T6618473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of San Francisco |
E149614
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
The Don
The Don is the University of San Francisco’s Spanish-influenced, nobleman-themed athletic mascot representing the school’s sports teams.
|
E601105
|
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: The Don | Statement: [University of San Francisco, mascot, The Don]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Don Context triple: [University of San Francisco, mascot, The Don]
-
A.
Stalsk‑12
Stalsk‑12 is a secretive, heavily fortified Russian closed city that serves as the climactic battleground in Christopher Nolan’s film "Tenet."
-
B.
Krimzon Guard
The Krimzon Guard is the authoritarian military police force in the Jak and Daxter video game series, known for enforcing Baron Praxis’s oppressive rule over Haven City.
-
C.
Yuriatin
Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
-
D.
Duma
Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
-
E.
Gorky Park
Gorky Park is a famous central Moscow park known for its recreational facilities, cultural events, and scenic riverside location.
- 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: The Don Triple: [University of San Francisco, mascot, The Don]
Generated description
The Don is the University of San Francisco’s Spanish-influenced, nobleman-themed athletic mascot representing the school’s sports teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Don Target entity description: The Don is the University of San Francisco’s Spanish-influenced, nobleman-themed athletic mascot representing the school’s sports teams.
-
A.
Stalsk‑12
Stalsk‑12 is a secretive, heavily fortified Russian closed city that serves as the climactic battleground in Christopher Nolan’s film "Tenet."
-
B.
Krimzon Guard
The Krimzon Guard is the authoritarian military police force in the Jak and Daxter video game series, known for enforcing Baron Praxis’s oppressive rule over Haven City.
-
C.
Yuriatin
Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
-
D.
Duma
Duma is a 2005 family adventure film directed by Carroll Ballard about a boy and his close bond with an orphaned cheetah in South Africa.
-
E.
Gorky Park
Gorky Park is a 1983 crime thriller film, based on Martin Cruz Smith’s novel, about a Soviet detective investigating a triple murder in Moscow.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5b21348190b7f09045e9ec7d63 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.