Triple
T9289815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Seals |
E223487
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Salty
Salty is the official mascot of the San Diego Seals professional lacrosse team, typically depicted as a playful, energetic seal that entertains fans at games and events.
|
E790477
|
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: Salty | Statement: [San Diego Seals, mascot, Salty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salty Context triple: [San Diego Seals, mascot, Salty]
-
A.
Salt
Salt is the stage name of Cheryl James, an American rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
-
B.
Salt
Salt is an open-source configuration management and remote execution tool used to automate and manage large-scale IT infrastructure.
-
C.
Salt
Salt is a 2010 action thriller film starring Angelina Jolie as a CIA officer accused of being a Russian spy.
-
D.
Salt
"Salt" is a 1962 poetry collection by Nobel Prize–winning Polish poet Wisława Szymborska, known for its reflective, ironic, and philosophically rich explorations of everyday life and history.
-
E.
Salty Pictures
Salty Pictures is a film and television production company best known for producing Disney Channel projects such as the High School Musical franchise.
- 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: Salty Triple: [San Diego Seals, mascot, Salty]
Generated description
Salty is the official mascot of the San Diego Seals professional lacrosse team, typically depicted as a playful, energetic seal that entertains fans at games and events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salty Target entity description: Salty is the official mascot of the San Diego Seals professional lacrosse team, typically depicted as a playful, energetic seal that entertains fans at games and events.
-
A.
Salt
Salt is an open-source configuration management and remote execution tool used to automate and manage large-scale IT infrastructure.
-
B.
Salt
Salt is the stage name of Cheryl James, an American rapper best known as one-third of the pioneering hip hop group Salt-N-Pepa.
-
C.
Salt
Salt is a 2010 action thriller film starring Angelina Jolie as a CIA officer accused of being a Russian spy.
-
D.
Salt
"Salt" is a 1962 poetry collection by Nobel Prize–winning Polish poet Wisława Szymborska, known for its reflective, ironic, and philosophically rich explorations of everyday life and history.
-
E.
Salty Pictures
Salty Pictures is a film and television production company best known for producing Disney Channel projects such as the High School Musical franchise.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b22ff5d881909ed5ac15ad8cbbb6 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b441ca5c81908d6d50f271de2a57 |
completed | April 4, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4e909308190a2dc31fc1ec27e09 |
completed | April 4, 2026, 6:51 a.m. |
Created at: March 30, 2026, 7:35 p.m.