Triple
T31335182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Henry Wadsworth Longfellow |
E799152
|
entity |
| Predicate | biographerFullName |
P69526
|
FINISHED |
| Object | Samuel Longfellow |
—
|
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: Samuel Longfellow | Statement: [Life of Henry Wadsworth Longfellow, biographerFullName, Samuel Longfellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biographerFullName Context triple: [Life of Henry Wadsworth Longfellow, biographerFullName, Samuel Longfellow]
-
A.
isBiographerOf
Indicates that one person has written a biography about another person.
-
B.
biographyWrittenBy
chosen
Indicates that a biography about a person or entity was authored by a specific writer.
-
C.
authorBirthName
Indicates the full personal name an author was given at birth, before any later name changes or pseudonyms.
-
D.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
-
E.
historianAuthor
Indicates that one entity is the historian who authored or wrote the work represented by the other entity.
- 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69ee3cfb881908234c228855d154d |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:16 p.m.