Triple
T14748377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Out the Wilderness |
E346533
|
entity |
| Predicate | protagonistRace |
P28254
|
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: [Come Out the Wilderness, protagonistRace, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistRace Context triple: [Come Out the Wilderness, protagonistRace, Black]
-
A.
protagonistEthnicity
chosen
Indicates the ethnic background or cultural heritage associated with a work’s main character.
-
B.
protagonistSpecies
Indicates that an entity is the species or kind of creature to which the protagonist of a story or scenario belongs.
-
C.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
-
D.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
E.
protagonistAllegiance
Indicates the group, cause, or side with which the main character is aligned or to which they show loyalty.
- F. None of above.
Provenance (3 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.