Triple
T34586116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maycomb County courtroom |
E888047
|
entity |
| Predicate | audienceCompositionInFiction |
P179673
|
FINISHED |
| Object | all‑white jury |
—
|
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: all‑white jury | Statement: [Maycomb County courtroom, audienceCompositionInFiction, all‑white jury]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceCompositionInFiction Context triple: [Maycomb County courtroom, audienceCompositionInFiction, all‑white jury]
-
A.
targetAudienceWithinFiction
Indicates that the intended audience of a work exists as characters or entities within the fictional world depicted by that work.
-
B.
languageWithinFiction
Indicates that a language is used or exists within the context of a fictional work or fictional universe.
-
C.
toneWithinFiction
Indicates the overall emotional or stylistic attitude conveyed inside a fictional work, as expressed through its narrative voice, style, or atmosphere.
-
D.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
E.
raceWithinFiction
Indicates that one fictional character or entity belongs to a particular race or species within a fictional universe.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:03 a.m.