Triple
T32363882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ***Flawless |
E826936
|
entity |
| Predicate | samplesSpeechFrom |
P42073
|
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, samplesSpeechFrom, Chimamanda Ngozi Adichie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplesSpeechFrom Context triple: [***Flawless, samplesSpeechFrom, Chimamanda Ngozi Adichie]
-
A.
givesSpeechTo
Indicates that one entity delivers a speech or formal address directed toward another entity or audience.
-
B.
usesSampleOfSpeechBy
chosen
Indicates that one entity employs or incorporates a sample of speech produced by another entity.
-
C.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
D.
mainSpeechBy
Indicates that a speech or primary address is delivered or given by a particular entity.
-
E.
speechContent
Indicates that one entity expresses, conveys, or contains the spoken or written content associated with another entity’s act of speaking or communication.
- 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_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 12:50 a.m.