Triple
T14621901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margulies |
E343243
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ben Margulies |
E213660
|
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: Ben Margulies | Statement: [Margulies, hasNotableBearer, Ben Margulies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Margulies Context triple: [Margulies, hasNotableBearer, Ben Margulies]
-
A.
Ben Margulies
chosen
Ben Margulies is an American songwriter and producer best known for co-writing several early hits with Mariah Carey, including her debut single "Vision of Love."
-
B.
David Margulies
David Margulies was an American character actor known for his roles in films such as Ghostbusters and numerous appearances on stage and television.
-
C.
Paul Margulies
Paul Margulies was an American advertising executive and writer, best known as the father of actress Julianna Margulies.
-
D.
Stan Margulies
Stan Margulies was an American film and television producer known for his work on projects such as the classic 1971 musical fantasy film "Willy Wonka & the Chocolate Factory."
-
E.
Josh Levi
Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16c005c81908b54fcfd4243d820 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:25 a.m.