Triple
T3056729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginny Newhart |
E60497
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Bill Quinn
Bill Quinn was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1980s.
|
E356219
|
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: Bill Quinn | Statement: [Ginny Newhart, relative, Bill Quinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Quinn Context triple: [Ginny Newhart, relative, Bill Quinn]
-
A.
Max Cullen
Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
-
B.
Kevin Corcoran
Kevin Corcoran was an American child actor best known for his roles in numerous Walt Disney films during the 1950s and 1960s.
-
C.
David Sullivan
David Sullivan is a British businessman and former pornography and media magnate best known as the co-owner and long-serving chairman of Premier League football club West Ham United.
-
D.
Jim O’Brien
Jim O’Brien is a former American football placekicker best known for kicking the game-winning field goal for the Baltimore Colts in Super Bowl V.
-
E.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
- 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: Bill Quinn Triple: [Ginny Newhart, relative, Bill Quinn]
Generated description
Bill Quinn was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bill Quinn Target entity description: Bill Quinn was an American character actor known for his numerous supporting roles in film and television from the 1930s through the 1980s.
-
A.
Max Cullen
Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
-
B.
Kevin Corcoran
Kevin Corcoran was an American child actor best known for his roles in numerous Walt Disney films during the 1950s and 1960s.
-
C.
David Sullivan
David Sullivan is a British businessman and former pornography and media magnate best known as the co-owner and long-serving chairman of Premier League football club West Ham United.
-
D.
Jim O’Brien
Jim O’Brien is a former American football placekicker best known for kicking the game-winning field goal for the Baltimore Colts in Super Bowl V.
-
E.
Phil Burke
Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354505574819083ae7d36e461366b |
completed | March 13, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69b35546dfa0819081800009fbe8afe3 |
completed | March 13, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355cecc4c81908ecb5f83e89b4a00 |
completed | March 13, 2026, 12:09 a.m. |
Created at: March 8, 2026, 3:02 p.m.