Triple
T13459510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David A. Kennedy |
E311321
|
entity |
| Predicate | genreOfBiographicalSubject |
P96774
|
FINISHED |
| Object | 20th-century American history |
—
|
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: 20th-century American history | Statement: [David A. Kennedy, genreOfBiographicalSubject, 20th-century American history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfBiographicalSubject Context triple: [David A. Kennedy, genreOfBiographicalSubject, 20th-century American history]
-
A.
genreOfBiographicalDepiction
Indicates that one entity is the genre category assigned to a biographical depiction (such as a biographical film, book, or artwork) about another entity.
-
B.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
C.
genreOfBiographicalTradition
chosen
Indicates that one entity is the genre classification associated with a particular biographical tradition of another entity.
-
D.
hasBiographicalSubjectOccupation
Indicates that the biographical subject is or was engaged in the specified occupation or profession.
-
E.
includesBiographiesOf
Indicates that one entity contains or features biographical information about another 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0c177081909178dec61b09c278 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03dcd0c8190a8927eb4eaad1c45 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.