Triple
T32375920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get It Wet |
E827278
|
entity |
| Predicate | creativeRoleOfTheLegendaryTraxster |
P197909
|
FINISHED |
| Object | record producer |
—
|
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: record producer | Statement: [Get It Wet, creativeRoleOfTheLegendaryTraxster, record producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeRoleOfTheLegendaryTraxster Context triple: [Get It Wet, creativeRoleOfTheLegendaryTraxster, record producer]
-
A.
roleInTronLegacy
Indicates that an entity had an acting or production role in the movie "Tron: Legacy."
-
B.
roleInTheAdventuresOfFordFairlane
Indicates that an entity has a specific role or appearance in the film "The Adventures of Ford Fairlane."
-
C.
roleInTransformers
Indicates that an entity has a specific role or function within the Transformers franchise or universe.
-
D.
roleInTranscendence
Indicates that an entity plays a specific role or function in another entity’s process, state, or act of transcendence.
-
E.
roleOfTristanEvans
Indicates that the specified entity holds the role or position associated with Tristan Evans in a given context.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb8e856d48190aa34ad8ee8376e1c |
completed | May 9, 2026, 4:32 a.m. |
| PD | Predicate disambiguation | batch_69feb82a2b6c8190a473cc25976897be |
completed | May 9, 2026, 4:29 a.m. |
| PDg | Predicate description generation | batch_69feb8e6ed7881908446745c89c30784 |
completed | May 9, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:50 a.m.