Triple
T31491907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maaza Mengiste |
E803427
|
entity |
| Predicate | Beneath the Lion’s Gaze_recognition |
P172567
|
FINISHED |
| Object | critically acclaimed |
—
|
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: critically acclaimed | Statement: [Maaza Mengiste, Beneath the Lion’s Gaze_recognition, critically acclaimed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Beneath the Lion’s Gaze_recognition Context triple: [Maaza Mengiste, Beneath the Lion’s Gaze_recognition, critically acclaimed]
-
A.
Beneath the Lion’s Gaze_theme
Indicates the central topics, ideas, or emotional concerns explored in "Beneath the Lion’s Gaze."
-
B.
Beneath the Lion’s Gaze_subject
Indicates that the subject is the work titled "Beneath the Lion’s Gaze" (e.g., a book, artwork, or similar creative entity).
-
C.
recognizesPeople
Indicates that an entity is able to identify or acknowledge specific individuals as distinct persons.
-
D.
visualIdentityRecognizedAs
Indicates that one visual identity is perceived, acknowledged, or treated as equivalent to another visual identity.
-
E.
facesChallenge
Indicates that an entity is confronted with a difficulty, obstacle, or demanding situation that must be dealt with or overcome.
- 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_69f6ac1ed23c8190ace57ffc9d8a3dc6 |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aba8fba48190bc1a17117244cae1 |
completed | May 3, 2026, 1:58 a.m. |
Created at: April 30, 2026, 9:38 p.m.