Triple
T35471286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a Hail of Bullets |
E1025213
|
entity |
| Predicate | associatedWithTVCharacter |
P88683
|
FINISHED |
| Object | Richard Castle |
E313077
|
NE 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: Richard Castle | Statement: [In a Hail of Bullets, associatedWithTVCharacter, Richard Castle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTVCharacter Context triple: [In a Hail of Bullets, associatedWithTVCharacter, Richard Castle]
-
A.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
B.
fictionalCharacterAssociatedWith
chosen
Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
-
C.
worksWithFictionalCharacter
Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
-
D.
alsoPortrayedBy
Indicates that the same role or character is portrayed by an additional, different performer or actor.
-
E.
characterAffiliationPortrayed
Indicates that a portrayal shows a character as being affiliated with a particular group, organization, or side.
- F. None of above.
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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4cebba08190a3e497f5e50c5810 |
completed | June 22, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.