Triple
T20653121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | boygenius |
E507551
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Me & My Dog |
—
|
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: Me & My Dog | Statement: [boygenius, hasSong, Me & My Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Me & My Dog Context triple: [boygenius, hasSong, Me & My Dog]
-
A.
“Me & My Dog”
chosen
“Me & My Dog” is an emotionally charged indie rock song by the supergroup boygenius, known for its intimate lyrics and powerful vocal harmonies.
-
B.
Man About Dog
Man About Dog is a 2004 Irish comedy film centered on three small-time Belfast gamblers who get entangled in greyhound racing schemes.
-
C.
One Man Dog
One Man Dog is a 1972 folk-rock album by singer-songwriter James Taylor that blends introspective ballads with more experimental, loosely structured tracks.
-
D.
The Dog in Me
The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
-
E.
Dog’s Best Friend
Dog’s Best Friend is a book by Peter Rader, best known as a work by the writer and filmmaker behind the film Waterworld.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af22d6bc8190b9d6877aba5704eb |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.