Triple
T38595969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vengeance Records |
E934080
|
entity |
| Predicate | relationshipToTheCramps |
P197791
|
FINISHED |
| Object | vanity label for The Cramps |
—
|
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: vanity label for The Cramps | Statement: [Vengeance Records, relationshipToTheCramps, vanity label for The Cramps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToTheCramps Context triple: [Vengeance Records, relationshipToTheCramps, vanity label for The Cramps]
-
A.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
-
B.
relationshipToTramp
Indicates that one entity has a specified type of relationship or connection to a tramp (a vagrant or homeless person).
-
C.
relatedBand
chosen
Indicates that two musical groups are connected through some notable association, such as shared members, collaborations, or stylistic/scene affiliation.
-
D.
relationshipTypeWithBilly Kramer
Indicates the specific type or nature of the relationship that an entity has with Billy Kramer.
-
E.
relationshipToPete
Indicates the specific type of relationship or connection that an entity has to Pete.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.