Triple
T32363938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flawless |
E826937
|
entity |
| Predicate | featuresSpokenWordArtist |
P50833
|
FINISHED |
| Object | Chimamanda Ngozi Adichie |
—
|
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: Chimamanda Ngozi Adichie | Statement: [Flawless, featuresSpokenWordArtist, Chimamanda Ngozi Adichie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenWordArtist Context triple: [Flawless, featuresSpokenWordArtist, Chimamanda Ngozi Adichie]
-
A.
notableSpokenWordPerformer
chosen
Indicates that the subject is a well-known or distinguished performer in spoken word, such as poetry, storytelling, or similar verbal performance arts.
-
B.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
C.
featuresVocalist
Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
-
D.
featuresArtistAsRecordingArtist
Indicates that an item (such as a recording or release) includes a particular artist in the role of the recording artist.
-
E.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d24043e8819090cc473b6c0923d0 |
completed | May 10, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_6a00d1ec12fc81908c514ed088ef8300 |
completed | May 10, 2026, 6:43 p.m. |
Created at: May 1, 2026, 12:50 a.m.