Triple
T17926432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonfire Heart |
E448206
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | Moon Landing |
—
|
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: Moon Landing | Statement: [Bonfire Heart, partOfAlbum, Moon Landing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moon Landing Context triple: [Bonfire Heart, partOfAlbum, Moon Landing]
-
A.
Moon Landing
chosen
Moon Landing is a studio album by British singer-songwriter James Blunt, known for its introspective pop ballads and the hit single "Bonfire Heart."
-
B.
Apollo 11
Apollo 11 was the historic 1969 spaceflight that first landed humans on the Moon and safely returned them to Earth.
-
C.
Standing on the Moon
"Standing on the Moon" is a reflective, space-themed ballad by the Grateful Dead, known for its poignant lyrics and emotive live performances.
-
D.
Amazon Women on the Moon
Amazon Women on the Moon is a 1987 satirical sketch-comedy film that parodies late-night television and B-movie sci-fi, featuring an ensemble cast including Arsenio Hall.
-
E.
Walking on the Moon
"Walking on the Moon" is a reggae-influenced rock song by the English band The Police, known for its atmospheric sound and distinctive bassline.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54f29a88190b035d8473765bde5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.