Triple
T15631122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairly Legal |
E375812
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Michael Sardo |
E1274272
|
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: Michael Sardo | Statement: [Fairly Legal, executiveProducer, Michael Sardo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Sardo Context triple: [Fairly Legal, executiveProducer, Michael Sardo]
-
A.
Michael Sardo
chosen
Michael Sardo is a television writer and producer best known for creating the USA Network legal dramedy series "Fairly Legal."
-
B.
Michael Sellitto
Michael Sellitto is a technology executive and co-founder of the AI safety and research company Anthropic.
-
C.
Phil Leotardo
Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
-
D.
Michael Petulla
Michael Petulla is a musician best known as a member of the English indie folk band Noah and the Whale.
-
E.
Joseph Cardone
Joseph Cardone is a character in the thriller film "The Osterman Weekend," involved in the web of espionage and deception surrounding a television host and his friends.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d27210b4819099aed53a2820591a |
completed | May 11, 2026, 12:58 p.m. |
Created at: April 10, 2026, 4:14 a.m.