Triple
T18379277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ...And Justice for All |
E446399
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object | Arthur Kirkland |
—
|
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: Arthur Kirkland | Statement: [...And Justice for All, leadCharacter, Arthur Kirkland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Kirkland Context triple: [...And Justice for All, leadCharacter, Arthur Kirkland]
-
A.
Arthur Kirkland
chosen
Arthur Kirkland is the idealistic, embattled defense attorney portrayed by Al Pacino in the 1979 legal drama film "...And Justice for All."
-
B.
Arthur Dunn
Arthur Dunn was an English educator and former footballer best known for establishing the prestigious preparatory institution Ludgrove School.
-
C.
Jack Kirkland
Jack Kirkland was an American playwright and screenwriter best known for co-writing the stage adaptation of Erskine Caldwell’s novel “Tobacco Road.”
-
D.
Geoffrey Kirkland
Geoffrey Kirkland is a British production designer known for his work on feature films, including the drama "Birdy."
-
E.
Thomas Kirk
Thomas Kirk was a 19th-century Irish sculptor known for prominent public monuments and neoclassical works in Dublin.
- 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.