Triple
T16933179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Feldman |
E410762
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Feldman |
E410762
|
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 Feldman | Statement: [Ben Feldman, name, Ben Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Feldman Context triple: [Ben Feldman, name, Ben Feldman]
-
A.
Ben Feldman
chosen
Ben Feldman is an American actor known for his roles in television series such as Drop Dead Diva, Mad Men, and Superstore.
-
B.
Ben Granfelt
Ben Granfelt is a Finnish rock and blues guitarist known for his solo work and for playing with bands such as Leningrad Cowboys and Wishbone Ash.
-
C.
Judah Friedlander
Judah Friedlander is an American comedian and actor best known for his deadpan humor, trademark trucker hats, and his role as writer Frank Rossitano on the television series "30 Rock."
-
D.
Tom Schulman
Tom Schulman is an American screenwriter best known for writing the Academy Award–winning screenplay for the film "Dead Poets Society."
-
E.
Justin Lader
Justin Lader is an American screenwriter best known for his work on character-driven, genre-blending films such as the surreal romantic drama "The One I Love."
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2650e08190b669d0cf2cf1275b |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe0ff608190903d0e64e04b1550 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.