Triple
T38229084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessed Assurance |
E1012233
|
entity |
| Predicate | hasTextAuthorLifespan |
P61939
|
FINISHED |
| Object | Fanny Crosby (1820–1915) |
—
|
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: Fanny Crosby (1820–1915) | Statement: [Blessed Assurance, hasTextAuthorLifespan, Fanny Crosby (1820–1915)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTextAuthorLifespan Context triple: [Blessed Assurance, hasTextAuthorLifespan, Fanny Crosby (1820–1915)]
-
A.
authorLifespanContext
Indicates the temporal or historical context of an author’s life span in relation to other events, periods, or entities.
-
B.
eraOfAuthor
chosen
Indicates the historical time period or era during which an author lived or produced their work.
-
C.
authorDiedBeforeBroadcast
Indicates that the author's death occurred earlier in time than the broadcast of the related work or content.
-
D.
activeYearsInLiterature
Indicates the span of years during which an entity was actively producing or contributing to literary works.
-
E.
dateOfAuthorDeathBeforePublication
Indicates that the author of a work died before that work was published.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: May 3, 2026, 4:30 p.m.