Triple
T32613151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wolf Brigade |
E833712
|
entity |
| Predicate | hasCastMemberWithReputationForRoles |
P198393
|
FINISHED |
| Object | Karel Roden |
—
|
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: Karel Roden | Statement: [The Wolf Brigade, hasCastMemberWithReputationForRoles, Karel Roden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCastMemberWithReputationForRoles Context triple: [The Wolf Brigade, hasCastMemberWithReputationForRoles, Karel Roden]
-
A.
hasHumanCharacterRole
Indicates that an entity is assigned a role or function specifically associated with a human character within a context such as a story, performance, or representation.
-
B.
hasRelativeInCastOrCrew
Indicates that at least one member of a work’s cast or crew is a relative of a specified person.
-
C.
featuresActorInMultipleRoles
Indicates that a work includes an actor who portrays more than one distinct role within that same work.
-
D.
hasCrewRole
Indicates that an entity serves in a specific role or position within a crew associated with another entity.
-
E.
relatedCastMember
Indicates that two cast members are connected through a relevant relationship, such as working together on the same production or being otherwise professionally associated.
- 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_69f3492bfa648190b6ae472074634e29 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
| PDg | Predicate description generation | batch_69fee0b03a0c81909117dc5915d77295 |
completed | May 9, 2026, 7:22 a.m. |
Created at: May 1, 2026, 1:06 a.m.