Triple
T37731587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietro Russell |
E940168
|
entity |
| Predicate | lifeStoryToldThrough |
P187647
|
FINISHED |
| Object | episodic chapters |
—
|
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: episodic chapters | Statement: [Pietro Russell, lifeStoryToldThrough, episodic chapters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeStoryToldThrough Context triple: [Pietro Russell, lifeStoryToldThrough, episodic chapters]
-
A.
lifeStoryObservedBy
Indicates that one entity has witnessed, documented, or otherwise taken note of the life story or biographical narrative of another entity.
-
B.
storyToldFrom
chosen
Indicates that a story is narrated or presented from the perspective or viewpoint of a particular entity.
-
C.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
D.
retellsStoryOf
Indicates that one entity recounts or narrates the story originally told or experienced by another entity.
-
E.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.