Triple
T36060227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Neeson as Briar Gates |
E1043055
|
entity |
| Predicate | justiceStyle |
P184528
|
FINISHED |
| Object | backwoods justice |
—
|
LITERAL 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: backwoods justice | Statement: [Liam Neeson as Briar Gates, justiceStyle, backwoods justice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: justiceStyle Context triple: [Liam Neeson as Briar Gates, justiceStyle, backwoods justice]
-
A.
legalStyle
Indicates that something conforms to, is expressed in, or is characterized by a legal or law-related style or manner.
-
B.
courtStyle
Indicates the manner or stylistic approach in which a court conducts its proceedings or presents its decisions.
-
C.
styleOfJudges
Indicates the characteristic manner or approach that judges use when performing their judging role.
-
D.
hadJusticeOf
Indicates that an entity was served or presided over by a particular justice or judicial officer.
-
E.
decisionStyle
Indicates the characteristic way an entity approaches, processes, and makes decisions in a given context.
- F. None of above. chosen
Provenance (4 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:08 p.m.