Triple
T33383886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah (Ragtime) |
E854858
|
entity |
| Predicate | raceWithinFiction |
P176827
|
FINISHED |
| Object | Black |
—
|
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: Black | Statement: [Sarah (Ragtime), raceWithinFiction, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceWithinFiction Context triple: [Sarah (Ragtime), raceWithinFiction, Black]
-
A.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
B.
rulesWithinFiction
Indicates that one set of rules governs or constrains events, characters, or elements within a fictional world or narrative.
-
C.
toneWithinFiction
Indicates the overall emotional or stylistic attitude conveyed inside a fictional work, as expressed through its narrative voice, style, or atmosphere.
-
D.
showWithinFiction
Indicates that one entity is depicted, referenced, or occurs as part of the fictional world or narrative context of another entity.
-
E.
guardedByInFiction
Indicates that one fictional entity is protected or watched over by another within a narrative 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:35 a.m.