Triple
T29340781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polecats motorcycle gang |
E744030
|
entity |
| Predicate | memberOfCastOfCharacters |
P143249
|
FINISHED |
| Object | Full Throttle |
—
|
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: Full Throttle | Statement: [Polecats motorcycle gang, memberOfCastOfCharacters, Full Throttle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOfCastOfCharacters Context triple: [Polecats motorcycle gang, memberOfCastOfCharacters, Full Throttle]
-
A.
memberOfTelevisionShowCast
Indicates that a person is a member of the cast of a particular television show.
-
B.
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.
-
C.
hasCastCharacter
chosen
Indicates that a media work includes a specific character as part of its cast.
-
D.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
E.
includesCastMembersFrom
Indicates that one entity’s cast list contains one or more cast members who also appear in the cast list of another entity.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 28, 2026, 1:33 p.m.