Triple
T35471285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a Hail of Bullets |
E1025213
|
entity |
| Predicate | partOfFictionalBibliographyOf |
P182578
|
FINISHED |
| Object | Richard Castle |
—
|
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: Richard Castle | Statement: [In a Hail of Bullets, partOfFictionalBibliographyOf, Richard Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFictionalBibliographyOf Context triple: [In a Hail of Bullets, partOfFictionalBibliographyOf, Richard Castle]
-
A.
partOfFictionalCorpus
Indicates that one fictional work, element, or text belongs to or is contained within a larger fictional collection, series, or universe.
-
B.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
C.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
D.
isFictionalWorkWithinWork
chosen
Indicates that one fictional work is contained or presented as a subordinate or embedded work within another fictional work.
-
E.
usedInFictionalWork
Indicates that something (such as a concept, object, or character) appears or is employed within a specific fictional work.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a008c77d4dc8190b342d7407eaf48fa |
completed | May 10, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_6a008c18531c8190bbe883b73e6d023f |
completed | May 10, 2026, 1:46 p.m. |
Created at: May 3, 2026, 4:04 p.m.