Triple
T20956111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara del Valle |
E516103
|
entity |
| Predicate | legacyInStory |
P35676
|
FINISHED |
| Object | guides Alba Trueba through her notebooks |
—
|
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: guides Alba Trueba through her notebooks | Statement: [Clara del Valle, legacyInStory, guides Alba Trueba through her notebooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyInStory Context triple: [Clara del Valle, legacyInStory, guides Alba Trueba through her notebooks]
-
A.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
B.
retellsStoryOf
Indicates that one entity recounts or narrates the story originally told or experienced by another entity.
-
C.
storyElement
chosen
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
D.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
E.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6b19048190b266ed24f6fc1a97 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 1:28 p.m.