Triple
T549539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leaves of Grass |
E11806
|
entity |
| Predicate | numberOfMajorRevisions |
P15596
|
FINISHED |
| Object | multiple over Whitman’s lifetime |
—
|
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: multiple over Whitman’s lifetime | Statement: [Leaves of Grass, numberOfMajorRevisions, multiple over Whitman’s lifetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorRevisions Context triple: [Leaves of Grass, numberOfMajorRevisions, multiple over Whitman’s lifetime]
-
A.
majorVersion
Indicates that one entity specifies or corresponds to the primary (major) version number of another entity in a versioning scheme.
-
B.
isLastMajor
Indicates that an entity is the final or most recent significant item or event within a defined sequence or set.
-
C.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
D.
hasMajorWork
Indicates that an entity (typically a person, creator, or organization) is associated with a significant or principal work they produced or are best known for.
-
E.
amendmentCount
Indicates the number of amendments that have been made to a given item, document, or entity.
- F. None of above. chosen
Provenance (4 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49901e4e481909a5ed93c21ab37bd |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.