Triple
T27541829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Scribe’s Records |
E695255
|
entity |
| Predicate | hasNotableFigureBiographies |
P6570
|
FINISHED |
| Object | Confucius |
—
|
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: Confucius | Statement: [Grand Scribe’s Records, hasNotableFigureBiographies, Confucius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFigureBiographies Context triple: [Grand Scribe’s Records, hasNotableFigureBiographies, Confucius]
-
A.
includesBiographiesOf
chosen
Indicates that one entity contains or features biographical information about another entity.
-
B.
hasBiographicalNote
Indicates that an entity is associated with a textual note summarizing or describing a person’s life or background.
-
C.
hasBiographicalSignificanceIn
Indicates that something holds notable relevance or importance within the context of a particular person's life or biography.
-
D.
hasWidelyDocumentedBiography
Indicates that extensive, reliable biographical information about the entity has been widely recorded and made publicly available.
-
E.
hasBiographicalWork
Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: April 27, 2026, 1:31 p.m.