Triple
T14351603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judging Amy |
E355865
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Dan Futterman |
E293857
|
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: Dan Futterman | Statement: [Judging Amy, starring, Dan Futterman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Futterman Context triple: [Judging Amy, starring, Dan Futterman]
-
A.
Dan Futterman
chosen
Dan Futterman is an American actor and Academy Award–nominated screenwriter known for writing the film "Capote" and co-creating the TV series "In Treatment."
-
B.
Phil Feldman
Phil Feldman was an American film producer best known for his work on influential Hollywood films of the 1960s and 1970s.
-
C.
Cliff Dorfman
Cliff Dorfman is an American screenwriter and filmmaker best known for co-writing the acclaimed sports drama film "Warrior" (2011).
-
D.
Mort Drucker
Mort Drucker was an American caricaturist and cartoonist best known for his influential, highly detailed movie and television parodies in Mad magazine.
-
E.
Ian Fried
Ian Fried is a screenwriter best known for penning the supernatural thriller film "Spectral."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7563188190b50c4413cd5dde37 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:14 a.m.