Triple
T36351273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby |
E895209
|
entity |
| Predicate | familyRoleInSeries |
P140927
|
FINISHED |
| Object | central crime family in Peaky Blinders |
—
|
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 crime family in Peaky Blinders | Statement: [Shelby, familyRoleInSeries, central crime family in Peaky Blinders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyRoleInSeries Context triple: [Shelby, familyRoleInSeries, central crime family in Peaky Blinders]
-
A.
narrativeRoleInSeries
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
B.
familyStatusInSeries
chosen
Indicates the familial role or relationship an entity holds within the context of a particular series or narrative.
-
C.
portrayedFamilyMemberOf
Indicates that one entity has depicted another entity as a member of their family, typically in a creative or representational context such as art, film, or literature.
-
D.
roleInMiSeries
Indicates that an entity participates in a Mission: Impossible series in a specific role or capacity.
-
E.
relationshipRoleInFilm
Indicates that one entity has a specific relationship-based role (e.g., spouse, sibling, partner) to another entity within the context of a particular film.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 3, 2026, 4:09 p.m.