Triple
T3464013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diogenes of Sinope |
E73091
|
entity |
| Predicate | anecdote |
P7331
|
FINISHED |
| Object | asked Alexander the Great to stand out of his sunlight |
—
|
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: asked Alexander the Great to stand out of his sunlight | Statement: [Diogenes of Sinope, anecdote, asked Alexander the Great to stand out of his sunlight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anecdote Context triple: [Diogenes of Sinope, anecdote, asked Alexander the Great to stand out of his sunlight]
-
A.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
B.
narrativePremise
Indicates the foundational situation, conflict, or setup that initiates and drives the narrative’s events.
-
C.
notableStory
chosen
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
D.
fact
Indicates that something is objectively true or has actually occurred, independent of opinion or belief.
-
E.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0b73f481908c9f8d2b9b9bbbaf |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:17 p.m.