Triple
T35694554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raven |
E1031397
|
entity |
| Predicate | centralToEventsIn |
P195424
|
FINISHED |
| Object | Apprentice Part 1 |
—
|
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: Apprentice Part 1 | Statement: [Raven, centralToEventsIn, Apprentice Part 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralToEventsIn Context triple: [Raven, centralToEventsIn, Apprentice Part 1]
-
A.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
B.
centralToMovement
Indicates that something plays a core, defining, or organizing role within a particular movement or collective effort.
-
C.
centralToSeries
Indicates that something is a core or defining element around which a series is organized or structured.
-
D.
centralSet
Indicates that the referenced set occupies a central or core position within a larger structure, system, or collection, often serving as a primary or focal subset.
-
E.
centralWork
Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
- F. None of above. chosen
Provenance (4 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: May 3, 2026, 4:05 p.m.