Triple
T18185772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Source of Self-Regard |
E435409
|
entity |
| Predicate | timeSpanOfTexts |
P9341
|
FINISHED |
| Object | several decades of Toni Morrison’s career |
—
|
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: several decades of Toni Morrison’s career | Statement: [The Source of Self-Regard, timeSpanOfTexts, several decades of Toni Morrison’s career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanOfTexts Context triple: [The Source of Self-Regard, timeSpanOfTexts, several decades of Toni Morrison’s career]
-
A.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
C.
timeSpanOfContentsStart
Indicates the point in time when the contents associated with something begin.
-
D.
collectionTimespan
chosen
Indicates the time period over which a collection exists, is accumulated, or is considered valid.
-
E.
timeRequiredToRead
Indicates the amount of time needed for an entity (such as a person) to read a given item or content.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffdccd881908da772db78b9d081 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.