Triple
T10264894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales |
E240687
|
entity |
| Predicate | reflectsAuthorPhase |
P45285
|
FINISHED |
| Object | politically radical period of Amiri Baraka |
—
|
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: politically radical period of Amiri Baraka | Statement: [Tales, reflectsAuthorPhase, politically radical period of Amiri Baraka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsAuthorPhase Context triple: [Tales, reflectsAuthorPhase, politically radical period of Amiri Baraka]
-
A.
reflectsAuthorTransition
Indicates that something represents or captures a change or shift in an author's role, style, period, or creative direction.
-
B.
authorMaturityPhase
Indicates the developmental stage or phase of maturity an author is in with respect to their work or career.
-
C.
authorPhilosophicalPhase
chosen
Indicates the particular philosophical period or phase of thought associated with an author’s work or intellectual development.
-
D.
marksPhase
Indicates that one event, state, or condition designates the beginning, end, or boundary of a particular phase in a process or sequence.
-
E.
reflectsInterestOfAuthorIn
Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:33 a.m.