Triple
T9396709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Rose Speedway |
E226160
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Get On The Right Thing |
E796639
|
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: Get On The Right Thing | Statement: [Red Rose Speedway, hasPart, Get On The Right Thing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get On The Right Thing Context triple: [Red Rose Speedway, hasPart, Get On The Right Thing]
-
A.
Get On the Right Thing
chosen
"Get On the Right Thing" is a rock song by Paul McCartney and Wings, released on their 1973 album Red Rose Speedway.
-
B.
Get Right
"Get Right" is a song by Pearl Jam featured on their 2002 EP *Riot Act*.
-
C.
Get Right
"Get Right" is a 2005 dance-pop and R&B single by Jennifer Lopez, produced and co-written by Rich Harrison, known for its distinctive horn riff and club-oriented sound.
-
D.
Right There
"Right There" is a 2013 R&B/pop single by Ariana Grande featuring Big Sean, known for its smooth, melodic production and romantic lyrics.
-
E.
Make It Right
Make It Right is the signature home-renovation philosophy and brand of contractor and TV personality Mike Holmes, emphasizing doing construction work correctly and ethically.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107949fe4819089f68a2c368af82f |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:46 p.m.