Triple
T6581953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Improvisation 26 (Rowing) |
E157316
|
entity |
| Predicate | seriesTitleElement |
P71619
|
FINISHED |
| Object | Improvisation |
—
|
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: Improvisation | Statement: [Improvisation 26 (Rowing), seriesTitleElement, Improvisation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesTitleElement Context triple: [Improvisation 26 (Rowing), seriesTitleElement, Improvisation]
-
A.
isTitleSeriesOf
Indicates that one entity is the title or name associated with a particular series (such as a book, film, or media franchise).
-
B.
episodeTitle
Indicates that a given title string is the name of a specific episode within a series or program.
-
C.
eraTitleWith
Indicates a relationship where a specific era is associated with or designated by a particular title.
-
D.
firstSeriesTitle
Indicates the title of the first series in which the subject (such as a work, character, or franchise) appears or to which it belongs.
-
E.
ledByTitle
Indicates that an organization, group, or initiative is headed or directed by a person holding a specified leadership 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:54 p.m.