Triple
T6189718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Maturin |
E138153
|
entity |
| Predicate | seriesRole |
P69568
|
FINISHED |
| Object | central protagonist in the Aubrey–Maturin series |
—
|
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: central protagonist in the Aubrey–Maturin series | Statement: [Stephen Maturin, seriesRole, central protagonist in the Aubrey–Maturin series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesRole Context triple: [Stephen Maturin, seriesRole, central protagonist in the Aubrey–Maturin series]
-
A.
seriesBy
Indicates that one entity is the creator, author, or originator of a series to which the other entity belongs.
-
B.
seriesLeader
Indicates that one entity serves as the primary leader, head, or main responsible figure for a particular series involving another entity.
-
C.
seriesType
Indicates the classification or category of a series that an entity belongs to or is associated with.
-
D.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
-
E.
seriesLocation
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0621abad48190acb9ec019c065ed4 |
completed | March 22, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:19 p.m.