Triple
T2390049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaWorld San Diego |
E48919
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Ken Norris
Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
|
E277954
|
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: Ken Norris | Statement: [SeaWorld San Diego, foundedBy, Ken Norris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Norris Context triple: [SeaWorld San Diego, foundedBy, Ken Norris]
-
A.
Alan Dawson
Alan Dawson is an American jazz drummer and influential educator renowned for his work with artists like Dave Brubeck and for shaping modern drum pedagogy.
-
B.
John Norris
John Norris was an English Elizabethan soldier and general noted for his campaigns in Ireland and on the Continent, and for leading the failed 1589 English Armada against Spain.
-
C.
Ray McDonald
Ray McDonald was an American actor and dancer known for his musical film roles in the 1940s and 1950s.
-
D.
Gordon Carroll
Gordon Carroll was an American film producer best known for his work on influential movies such as "Alien."
-
E.
Curt Fraser
Curt Fraser is a Canadian former professional ice hockey player and coach best known as the first head coach in Atlanta Thrashers franchise history.
- 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: Ken Norris Triple: [SeaWorld San Diego, foundedBy, Ken Norris]
Generated description
Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Norris Target entity description: Ken Norris was a pioneering marine mammalogist and educator best known for his influential work in dolphin research and marine park development.
-
A.
Alan Dawson
Alan Dawson is an American jazz drummer and influential educator renowned for his work with artists like Dave Brubeck and for shaping modern drum pedagogy.
-
B.
John Norris
John Norris was an English Elizabethan soldier and general noted for his campaigns in Ireland and on the Continent, and for leading the failed 1589 English Armada against Spain.
-
C.
Ray McDonald
Ray McDonald was an American actor and dancer known for his musical film roles in the 1940s and 1950s.
-
D.
Gordon Carroll
Gordon Carroll was an American film producer best known for his work on influential movies such as "Alien."
-
E.
Curt Fraser
Curt Fraser is a Canadian former professional ice hockey player and coach best known as the first head coach in Atlanta Thrashers franchise history.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7de1478819082238e8b8f88ed06 |
completed | March 7, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cd2e9808190aa124c6051d1fc98 |
completed | March 9, 2026, 11:50 p.m. |
| NEDg | Description generation | batch_69af5f63bee88190b748a45dcf667a2f |
completed | March 10, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5ff0186081908c3bad308b4aba50 |
completed | March 10, 2026, 12:04 a.m. |
Created at: March 4, 2026, 7:57 p.m.