Triple
T12699838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Morgan |
E303429
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object |
Spence Kovak
Spence Kovak is a supporting character on the 1990s sitcom "Ellen," known as one of Ellen Morgan’s close friends.
|
E998341
|
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: Spence Kovak | Statement: [Ellen Morgan, hasFriend, Spence Kovak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spence Kovak Context triple: [Ellen Morgan, hasFriend, Spence Kovak]
-
A.
Dane Krager
Dane Krager is an American indoor football executive and former player who serves as the general manager of the Frisco Fighters in the Indoor Football League.
-
B.
Ryan Johansen
Ryan Johansen is a Canadian professional ice hockey center who has played in the NHL for teams including the Columbus Blue Jackets and Nashville Predators.
-
C.
Jordan Krause
Jordan Krause is a film producer known for working on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
-
D.
Nick Cogley
Nick Cogley was an early 20th-century American character actor known for his roles in silent films.
-
E.
Kyle Davidson
Kyle Davidson is a Canadian ice hockey executive best known as the general manager responsible for leading the NHL’s Chicago Blackhawks roster rebuild.
- 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: Spence Kovak Triple: [Ellen Morgan, hasFriend, Spence Kovak]
Generated description
Spence Kovak is a supporting character on the 1990s sitcom "Ellen," known as one of Ellen Morgan’s close friends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spence Kovak Target entity description: Spence Kovak is a supporting character on the 1990s sitcom "Ellen," known as one of Ellen Morgan’s close friends.
-
A.
Dane Krager
Dane Krager is an American indoor football executive and former player who serves as the general manager of the Frisco Fighters in the Indoor Football League.
-
B.
Ryan Johansen
Ryan Johansen is a Canadian professional ice hockey center who has played in the NHL for teams including the Columbus Blue Jackets and Nashville Predators.
-
C.
Jordan Krause
Jordan Krause is a film producer known for working on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
-
D.
Nick Cogley
Nick Cogley was an early 20th-century American character actor known for his roles in silent films.
-
E.
Kyle Davidson
Kyle Davidson is a Canadian ice hockey executive best known as the general manager responsible for leading the NHL’s Chicago Blackhawks roster rebuild.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ef65ac8190aedf9ade3a68e24e |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b27790819085f0f03af33f8f21 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
Created at: April 9, 2026, 5:22 p.m.