Triple
T38431223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana Woman, Mississippi Man |
E903805
|
entity |
| Predicate | hasMusicalArtistCollaboration |
P110830
|
FINISHED |
| Object | Loretta Lynn and Conway Twitty |
—
|
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: Loretta Lynn and Conway Twitty | Statement: [Louisiana Woman, Mississippi Man, hasMusicalArtistCollaboration, Loretta Lynn and Conway Twitty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalArtistCollaboration Context triple: [Louisiana Woman, Mississippi Man, hasMusicalArtistCollaboration, Loretta Lynn and Conway Twitty]
-
A.
hasArtistSiblingCollaboration
Indicates that two artist siblings have worked together on a shared artistic project or collaboration.
-
B.
musicalCollaborator
chosen
Indicates a relationship where two or more entities work together in creating, performing, or producing music.
-
C.
hasNotableCollaborationType
Indicates a specific kind or category of significant collaborative relationship that exists between entities.
-
D.
hasCollaboratedIn
Indicates that two or more entities have worked together on a shared project, task, or activity.
-
E.
notableCollaboration
Indicates a significant joint effort or partnership between entities that produced a noteworthy shared outcome or work.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 3, 2026, 4:31 p.m.