Triple
T17492743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When the World’s on Fire |
E425965
|
entity |
| Predicate | hasTuneReusedAs |
P115916
|
FINISHED |
| Object | tune of This Land Is Your Land |
—
|
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: tune of This Land Is Your Land | Statement: [When the World’s on Fire, hasTuneReusedAs, tune of This Land Is Your Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTuneReusedAs Context triple: [When the World’s on Fire, hasTuneReusedAs, tune of This Land Is Your Land]
-
A.
melodyReusedBy
Indicates that a melody originally used in one work is later reused or incorporated in another work.
-
B.
isOftenSungToTune
chosen
Indicates that one song or piece of text is frequently performed using the melody or musical setting of another.
-
C.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
-
D.
hasReprise
Indicates that an action, theme, or element is repeated or returns after its initial occurrence.
-
E.
containsReRecordedSong
Indicates that one entity (typically an album, release, or collection) includes a song that has been recorded again in a new version compared to its original recording.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d6bd548190b4c6fae27c2a9ae8 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.