Triple
T198016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Guy |
E4039
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Alec Sulkin
Alec Sulkin is an American television writer, producer, and voice actor best known for his long-running work on the animated series Family Guy.
|
E75925
|
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: Alec Sulkin | Statement: [Family Guy, executiveProducer, Alec Sulkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alec Sulkin Context triple: [Family Guy, executiveProducer, Alec Sulkin]
-
A.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
B.
Gareth Unwin
Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
-
C.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
D.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
E.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
- 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: Alec Sulkin Triple: [Family Guy, executiveProducer, Alec Sulkin]
Generated description
Alec Sulkin is an American television writer, producer, and voice actor best known for his long-running work on the animated series Family Guy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alec Sulkin Target entity description: Alec Sulkin is an American television writer, producer, and voice actor best known for his long-running work on the animated series Family Guy.
-
A.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
B.
Gareth Unwin
Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
-
C.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
-
D.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
E.
Chris Fenton
Chris Fenton is a film producer and entertainment executive known for his work on projects such as the political drama "Chappaquiddick."
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcb2c7c8190b0e031e93651182a |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5291da6c081908ebe0b83a8f3cfa0 |
completed | March 2, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69a52a74bdc08190a4b5cf466d11d6b5 |
completed | March 2, 2026, 6:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a52acd26948190b1110721f1a38d05 |
completed | March 2, 2026, 6:14 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.