Triple
T22865897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Believe in Me |
E567051
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Swamp Song |
—
|
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: Swamp Song | Statement: [Believe in Me, hasPart, Swamp Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swamp Song Context triple: [Believe in Me, hasPart, Swamp Song]
-
A.
The Swamp Song
chosen
The Swamp Song is an instrumental rock track by Oasis, best known for appearing in live performances and as a non-album companion piece to their mid-1990s singles.
-
B.
Down by the River
"Down by the River" is a long, guitar-driven rock song by Neil Young and Crazy Horse, noted for its extended jams and dark, ambiguous lyrics.
-
C.
Down by the River
"Down by the River" is a popular reggae song by Jamaican band Morgan Heritage, known for its smooth harmonies and socially conscious lyrics.
-
D.
Down by the River
"Down by the River" is a traditional children's clapping and playground rhyme often chanted in group games.
-
E.
Down by the River
"Down by the River" is a novel by Irish writer Edna O'Brien that powerfully explores themes of sexual abuse, reproductive rights, and the oppression of women in rural Ireland.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.