Triple
T20118399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyt Axton |
E490529
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | Joy to the World |
—
|
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: Joy to the World | Statement: [Hoyt Axton, wroteSong, Joy to the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joy to the World Context triple: [Hoyt Axton, wroteSong, Joy to the World]
-
A.
Joy to the World
"Joy to the World" is a popular Christmas carol traditionally associated with the holiday season and widely performed in both religious and secular settings.
-
B.
Joy to the World
chosen
"Joy to the World" is a popular 1971 rock song by Three Dog Night, best known for its jubilant chorus beginning with “Jeremiah was a bullfrog.”
-
C.
Let Joy Reign Supreme
Let Joy Reign Supreme is the English title of the 1975 French historical drama film "Que la fête commence," directed by Bertrand Tavernier and set in early 18th-century France.
-
D.
Shout for Joy
"Shout for Joy" is a boogie-woogie piano piece by American jazz pianist Albert Ammons, showcasing his energetic, virtuosic style.
-
E.
Count It All Joy
Count It All Joy is an R&B/gospel-influenced song produced by Keith Crouch, known for its uplifting message and smooth, soulful sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.