Triple
T3084112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modern Family |
E64328
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Steven Levitan |
E325119
|
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: Steven Levitan | Statement: [Modern Family, executiveProducer, Steven Levitan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Levitan Context triple: [Modern Family, executiveProducer, Steven Levitan]
-
A.
Steven Levitan
chosen
Steven Levitan is an American television writer, producer, and director best known for co-creating the acclaimed sitcom "Modern Family."
-
B.
Dan Fogelman
Dan Fogelman is an American television and film writer and producer best known for creating the hit drama series "This Is Us" and writing films such as "Crazy, Stupid, Love."
-
C.
Steven Levenson
Steven Levenson is an American playwright and television writer best known for writing the book for the hit Broadway musical "Dear Evan Hansen."
-
D.
Mitchell Hurwitz
Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
-
E.
Brad Silberling
Brad Silberling is an American film and television director known for movies such as "City of Angels," "Casper," and "Lemony Snicket's A Series of Unfortunate Events."
- 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.