Triple
T13797212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pi |
E331547
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ben Shenkman |
E509260
|
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 Shenkman | Statement: [Pi, starring, Ben Shenkman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Shenkman Context triple: [Pi, starring, Ben Shenkman]
-
A.
Ben Shenkman
chosen
Ben Shenkman is an American actor known for his work in film, television, and theater, including acclaimed roles in projects like "Angels in America."
-
B.
Greg Shenkman
Greg Shenkman is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
-
C.
Dov Frohman
Dov Frohman is an Israeli engineer and inventor best known for pioneering the EPROM (erasable programmable read-only memory) and for his leadership role at Intel Israel.
-
D.
Alan Schlesinger
Alan Schlesinger is an American politician and attorney best known as the Republican nominee in the high-profile 2006 U.S. Senate race in Connecticut against Joe Lieberman and Ned Lamont.
-
E.
Steven Lutvak
Steven Lutvak is an American composer and lyricist best known for co-writing the Tony Award-winning Broadway musical "A Gentleman's Guide to Love and Murder."
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b38823881909c9df93371782b47 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 9, 2026, 10:11 p.m.