Triple
T20107347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barking at Airplanes |
E490216
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Touch and Go |
—
|
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: Touch and Go | Statement: [Barking at Airplanes, hasPart, Touch and Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Touch and Go Context triple: [Barking at Airplanes, hasPart, Touch and Go]
-
A.
Touch and Go
chosen
Touch and Go is a track from the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
-
B.
Touch & Go
"Touch & Go" is a suspense thriller novel by Lisa Gardner that follows a family's mysterious disappearance and the investigation that uncovers dark secrets and hidden dangers.
-
C.
Got to Go
"Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
-
D.
Going to a Go-Go
"Going to a Go-Go" is a 1965 Motown hit by Smokey Robinson & the Miracles, celebrated as a classic upbeat soul dance track.
-
E.
Got Me Going
"Got Me Going" is a 2008 R&B single by the American boy band Day26, released as one of their best-known tracks following their formation on the reality show Making the Band 4.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666dcb8d4819091889e19dd9137a6 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.