Triple
T31491889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maaza Mengiste |
E803427
|
entity |
| Predicate | Beneath the Lion’s Gaze_subject |
P171697
|
FINISHED |
| Object | Ethiopian Revolution |
—
|
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: Ethiopian Revolution | Statement: [Maaza Mengiste, Beneath the Lion’s Gaze_subject, Ethiopian Revolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Beneath the Lion’s Gaze_subject Context triple: [Maaza Mengiste, Beneath the Lion’s Gaze_subject, Ethiopian Revolution]
-
A.
viewOfAslan
Indicates a perspective, depiction, or representation specifically centered on Aslan.
-
B.
lionArmedAndLangued
Indicates that a lion is depicted with its claws and tongue emphasized, typically by being shown and colored distinctly.
-
C.
موضوع بوستان
Indicates that something is the subject or topic of the work "بوستان" (Bustan).
-
D.
tinctureOfLion
Indicates a relationship where something is a medicinal or alchemical preparation (a “tincture”) derived from or associated with a lion.
-
E.
lionPosition
Indicates the spatial location or placement of a lion relative to a reference frame or environment.
- 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.