Triple
T16099211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Saddlemen |
E390569
|
entity |
| Predicate | performedSong |
P11145
|
FINISHED |
| Object | Green Tree Boogie |
E1194586
|
NE 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: Green Tree Boogie | Statement: [The Saddlemen, performedSong, Green Tree Boogie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Tree Boogie Context triple: [The Saddlemen, performedSong, Green Tree Boogie]
-
A.
"Green Tree Boogie"
chosen
"Green Tree Boogie" is a mid-20th-century rhythm and blues/rock and roll single issued by the American label Essex Records.
-
B.
Boot Scootin' Boogie
"Boot Scootin' Boogie" is a hit country song that helped popularize line dancing and became one of Brooks & Dunn's signature tunes in the early 1990s.
-
C.
Jungle Boogie
"Jungle Boogie" is a 1973 funk and R&B hit song by Kool & the Gang, known for its infectious groove and prominent horn riffs.
-
D.
The Boogie That Be
"The Boogie That Be" is a high-energy hip hop track by the Black Eyed Peas known for its funky beats and party-oriented vibe.
-
E.
Bayou Boogaloo
Bayou Boogaloo is an annual music and cultural festival in Norfolk, Virginia, celebrating Louisiana-inspired food, art, and live performances along the city’s waterfront.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6672848190922b5ebb90e18947 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff29f9f2881909b96860ee23d8ada |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.