Triple
T20744642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Arber |
E510545
|
entity |
| Predicate | fameInStory |
P75225
|
FINISHED |
| Object | famous author |
—
|
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: famous author | Statement: [James Arber, fameInStory, famous author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fameInStory Context triple: [James Arber, fameInStory, famous author]
-
A.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
B.
fameStatus
Indicates the level or state of public recognition or renown associated with an entity.
-
C.
knownForStoryline
chosen
Indicates that an entity is recognized or notable specifically for its narrative or storyline.
-
D.
associatedWithFameAspect
Indicates that an entity is connected to or characterized by a particular aspect or dimension of fame.
-
E.
starMadeFamous
Indicates that one entity (such as a work, event, or role) is what caused another entity (typically a person) to become widely known or famous.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c21197088190951a4c4a7e765891 |
completed | April 21, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c0509608819080cdbf47fcddfe36 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:33 p.m.