Triple
T29222538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noël |
E740840
|
entity |
| Predicate | includesContemporaryCarols |
P200469
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Noël, includesContemporaryCarols, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesContemporaryCarols Context triple: [Noël, includesContemporaryCarols, true]
-
A.
isChristmasSongOn
Indicates that a Christmas-themed song is currently playing or active.
-
B.
isChristmasSong
Indicates that a song is recognized as a Christmas-themed song, typically associated with the Christmas holiday season.
-
C.
includesTraditionalSong
Indicates that one entity contains or features a traditional song as part of its content or composition.
-
D.
hasCanticle
Indicates that an entity is associated with, contains, or is characterized by a specific canticle (a hymn or song of praise).
-
E.
hymnsPreservedIn
Indicates that specific hymns have been preserved or transmitted within a particular source, collection, or medium.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69ff8cec1e4c8190b2d66b3e0f913bfd |
completed | May 9, 2026, 7:37 p.m. |
Created at: April 28, 2026, 12:15 p.m.