Triple
T3084521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foy |
E64337
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Alec Sulkin |
E75925
|
NE FINISHED |
How this triple was built (2 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: [Foy, createdBy, Alec Sulkin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alec Sulkin Context triple: [Foy, createdBy, Alec Sulkin]
-
A.
Alec Sulkin
chosen
Alec Sulkin is an American television writer, producer, and voice actor best known for his long-running work on the animated series Family Guy.
-
B.
Peter Garnsey
Peter Garnsey is a prominent historian of the ancient world, particularly known for his influential scholarship on the social, economic, and legal history of the Roman Empire.
-
C.
Stephen Lipson
Stephen Lipson is a British record producer, guitarist, and songwriter known for his work with artists such as Grace Jones, Annie Lennox, and Frankie Goes to Hollywood.
-
D.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
-
E.
Andrew Solt
Andrew Solt was a Hungarian-American screenwriter and producer best known for his work on mid-20th-century films and later for creating music-related documentaries and television programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203607df081909499458d6608f0e6 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:03 p.m.