Triple
T18379263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ...And Justice for All |
E446399
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jack Warden |
—
|
NE NERFINISHED |
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: Jack Warden | Statement: [...And Justice for All, starring, Jack Warden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Warden Context triple: [...And Justice for All, starring, Jack Warden]
-
A.
Jack Warden
chosen
Jack Warden was an American character actor known for his prolific film and television career, including notable roles in classics like "12 Angry Men," "Heaven Can Wait," and "Shampoo."
-
B.
George Sowards
George Sowards is an actor known for his role in the film "Shotgun."
-
C.
Robert Joy
Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
-
D.
Martin Shaw
Martin Shaw is a fictional character from the psychological horror film "Seven Days to Live."
-
E.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51799e0f4819089e8af04888549bf |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.