Triple
T9763184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Pope |
E236715
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | J.K. Simmons |
E47001
|
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: J.K. Simmons | Statement: [Will Pope, portrayedBy, J.K. Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J.K. Simmons Context triple: [Will Pope, portrayedBy, J.K. Simmons]
-
A.
J.K. Simmons
chosen
J.K. Simmons is an American character actor known for his versatile performances in film and television, including roles in "Whiplash," the "Spider-Man" trilogy, and numerous acclaimed supporting parts.
-
B.
Eric Adkins
Eric Adkins is a cinematographer best known for his work on the visually distinctive film "Sky Captain and the World of Tomorrow."
-
C.
Burn Gorman
Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
-
D.
Michael Cerveris
Michael Cerveris is a Tony Award–winning American actor and singer known for his work on Broadway and in film and television.
-
E.
Chris Cooper
Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09d8bc88190808145f141b4a9f8 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d281a8e9b08190bcafaf409f83a152 |
completed | April 5, 2026, 3:37 p.m. |
Created at: March 30, 2026, 8:25 p.m.