Triple
T16844048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Grace |
E409488
|
entity |
| Predicate | seriesTitlePattern |
P124329
|
FINISHED |
| Object | titles often contain the word "Dead" |
—
|
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: titles often contain the word "Dead" | Statement: [Roy Grace, seriesTitlePattern, titles often contain the word "Dead"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesTitlePattern Context triple: [Roy Grace, seriesTitlePattern, titles often contain the word "Dead"]
-
A.
seriesTitleElement
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
B.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
C.
seriesDescriptor
chosen
Indicates that an entity serves as a descriptive or identifying label for a series to which another entity belongs.
-
D.
workSeriesTitle
Indicates that a work is part of, or associated with, a particular series title.
-
E.
seriesTitleOfRole
Indicates that a given title is the name of the series associated with a particular role.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3533a9481909730571e6f758cbe |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.