Triple
T32130708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liv Rooney |
E820633
|
entity |
| Predicate | channelSeriesTitle |
P173609
|
FINISHED |
| Object | Liv and Maddie |
—
|
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: Liv and Maddie | Statement: [Liv Rooney, channelSeriesTitle, Liv and Maddie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelSeriesTitle Context triple: [Liv Rooney, channelSeriesTitle, Liv and Maddie]
-
A.
televisionSeriesTitleOfThemeSeries
Indicates the television series for which a given theme (such as a theme song or opening sequence) serves as the title or main theme.
-
B.
seriesTitleElement
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
C.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
D.
episodeTitle
Indicates that a given title string is the name of a specific episode within a series or program.
-
E.
workSeriesTitle
Indicates that a work is part of, or associated with, a particular series title.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96f3f108190a138524eb7e07fbf |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:29 a.m.