Triple
T1716263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancer |
E37295
|
entity |
| Predicate | featuredInGenre |
P21332
|
FINISHED |
| Object | Christmas fiction |
—
|
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: Christmas fiction | Statement: [Dancer, featuredInGenre, Christmas fiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInGenre Context triple: [Dancer, featuredInGenre, Christmas fiction]
-
A.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
B.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
-
C.
featuredIn
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
D.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
E.
isPlayedIn
Indicates that an instance of a game, sport, or performance takes place within or is hosted at a particular location or venue.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.