Triple
T27871953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oga Garra |
E704812
|
entity |
| Predicate | roleInUnderworld |
P113151
|
FINISHED |
| Object | power broker on Batuu |
—
|
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: power broker on Batuu | Statement: [Oga Garra, roleInUnderworld, power broker on Batuu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInUnderworld Context triple: [Oga Garra, roleInUnderworld, power broker on Batuu]
-
A.
roleInInferno
Indicates that one entity has a specific narrative or functional role in relation to another entity within the context of the Inferno.
-
B.
portraysUnderworld
Indicates that an entity depicts or represents the underworld or a subterranean realm in some medium or context.
-
C.
positionInUnderworld
chosen
Indicates a hierarchical or role-based position that an entity holds within an underworld or criminal organization.
-
D.
roleInDarkCity
Indicates that an entity has a specific role, function, or character within the context of the work "Dark City."
-
E.
roleInDeathOfTheOutsider
Indicates a role or involvement an entity has in the events surrounding "Death of the Outsider."
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 27, 2026, 6:25 p.m.