Triple
T31491888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maaza Mengiste |
E803427
|
entity |
| Predicate | The Shadow King_subject |
P171696
|
FINISHED |
| Object | Second Italo-Ethiopian War |
—
|
NE NERFINISHED |
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: Second Italo-Ethiopian War | Statement: [Maaza Mengiste, The Shadow King_subject, Second Italo-Ethiopian War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: The Shadow King_subject Context triple: [Maaza Mengiste, The Shadow King_subject, Second Italo-Ethiopian War]
-
A.
isShadowOf
Indicates that one entity is the cast or projected shadow produced by another entity under some light source.
-
B.
hasKingAsSubject
Indicates that the subject entity in the relationship is a king.
-
C.
isDemonKing
Indicates that an entity holds the status or role of a demon king, typically as the supreme ruler or most powerful figure among demons.
-
D.
typeOfDarkness
Indicates a relationship where one entity is characterized as a specific kind or form of darkness relative to another.
-
E.
demonKingDomain
Indicates that an entity rules over or holds dominion as a demon king within a particular domain or territory.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1e5776c819080c830ab16b040fd |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69f6a0e920cc8190a943fdd0594906c5 |
completed | May 3, 2026, 1:12 a.m. |
Created at: April 30, 2026, 9:38 p.m.