Triple
T34074052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nutbush line dance |
E873855
|
entity |
| Predicate | performedToSongBy |
P197914
|
FINISHED |
| Object | Tina Turner |
—
|
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: Tina Turner | Statement: [Nutbush line dance, performedToSongBy, Tina Turner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedToSongBy Context triple: [Nutbush line dance, performedToSongBy, Tina Turner]
-
A.
performedSongFor
Indicates that one entity performed a song specifically for another entity as the intended audience or recipient.
-
B.
performedSong
Indicates that an entity (such as an artist or performer) has given a performance of a particular song.
-
C.
performedSongsBy
Indicates that one entity has performed songs that were created, owned, or associated with another entity.
-
D.
performsSongWith
Indicates that two or more entities jointly perform or present a song together.
-
E.
performedSongInWork
Indicates that an entity performed a particular song within the context of a specific larger work or production.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 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, 1:52 a.m.