Triple
T34363685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perfectly Wrong |
E881949
|
entity |
| Predicate | hasContributorRole:Teddy Geiger |
P205407
|
FINISHED |
| Object | songwriter |
—
|
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: songwriter | Statement: [Perfectly Wrong, hasContributorRole:Teddy Geiger, songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContributorRole:Teddy Geiger Context triple: [Perfectly Wrong, hasContributorRole:Teddy Geiger, songwriter]
-
A.
celebrityParticipant
Indicates that an entity takes part in an event, activity, or production specifically in the role of a celebrity.
-
B.
modeledBy
Indicates that one entity serves as a model or representation of another, typically capturing its structure, behavior, or properties.
-
C.
famousModel
Indicates that the subject is a well-known or widely recognized model.
-
D.
isPlaymateOf
Indicates a reciprocal relationship where two entities regularly engage in play or recreational activities together.
-
E.
portrayedByAlsoKnownFor
Indicates that an entity is portrayed by a person who is also notably known for another specific role or work.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:58 a.m.