Triple
T5288788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashed Potato Time |
E119688
|
entity |
| Predicate | hasTitleTheme |
P44694
|
FINISHED |
| Object | potato-themed dance |
—
|
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: potato-themed dance | Statement: [Mashed Potato Time, hasTitleTheme, potato-themed dance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleTheme Context triple: [Mashed Potato Time, hasTitleTheme, potato-themed dance]
-
A.
hasTitleMotif
Indicates that a work’s title prominently features or reflects a recurring motif or central thematic element within the work.
-
B.
titleTheme
chosen
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
C.
hasTitleType
Indicates that an entity holds a specific kind or category of title (such as job title, honorific, or formal designation).
-
D.
hasTitleSubject
Indicates that an entity has a specific subject or topic as the focus of its title.
-
E.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.