Triple
T9719755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Swan Pas de deux |
E235432
|
entity |
| Predicate | oftenExcerptedIn |
P47704
|
FINISHED |
| Object | gala ballet programs |
—
|
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: gala ballet programs | Statement: [Black Swan Pas de deux, oftenExcerptedIn, gala ballet programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenExcerptedIn Context triple: [Black Swan Pas de deux, oftenExcerptedIn, gala ballet programs]
-
A.
publishedIn
Indicates that a work (such as an article, paper, or book) has been formally released or made available within a specific venue, medium, or publication.
-
B.
oftenCitedAs
Indicates that one entity is frequently referenced or mentioned as an example, source, or authority in relation to another entity.
-
C.
hasExcerptsPublishedOn
chosen
Indicates that certain excerpts from a work or content have been published on a specified platform, medium, or outlet.
-
D.
isFrequentlyAnthologized
Indicates that a work is often selected and included in multiple anthologies or collected editions.
-
E.
abridgedIn
Indicates that one entity is a shortened or condensed version of the content found within another entity.
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e4022c4819097455f14dd9b1a77 |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.