Triple
T10031371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis & Nixon |
E204859
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Tracy Letts |
E202173
|
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: Tracy Letts | Statement: [Elvis & Nixon, castMember, Tracy Letts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Letts Context triple: [Elvis & Nixon, castMember, Tracy Letts]
-
A.
Tracy Letts
chosen
Tracy Letts is an American actor, playwright, and screenwriter known for his Pulitzer Prize–winning play "August: Osage County" and acclaimed performances in film, television, and theater.
-
B.
Ennis Howard Plemons
Ennis Howard Plemons is the son of American actors Kirsten Dunst and Jesse Plemons.
-
C.
Gerald McRaney
Gerald McRaney is an American actor best known for his television roles in series such as "Simon & Simon," "Major Dad," and "This Is Us."
-
D.
Dylan Baker
Dylan Baker is an American character actor known for his versatile roles in film, television, and theater, including appearances in movies like "Planes, Trains and Automobiles" and the "Spider-Man" series.
-
E.
George Sowards
George Sowards is an actor known for his role in the film "Shotgun."
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce461d6481908cc8f968856e0337 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2823e63488190bef7633b1a755df8 |
completed | April 5, 2026, 3:39 p.m. |
Created at: March 30, 2026, 8:54 p.m.