Triple
T9680858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Do You Stop |
E234276
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | How Do You Stop |
E234276
|
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: How Do You Stop | Statement: [How Do You Stop, hasTitle, How Do You Stop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Do You Stop Context triple: [How Do You Stop, hasTitle, How Do You Stop]
-
A.
How Do You Stop
chosen
"How Do You Stop" is a song by Joni Mitchell featured on her 1994 album "Turbulent Indigo."
-
B.
Stop Stop Stop
"Stop Stop Stop" is a 1966 hit single by British pop/rock band The Hollies, known for its distinctive banjo-driven sound and storytelling lyrics.
-
C.
How Do You Do It?
"How Do You Do It?" is a 1963 pop song that became a major hit single for the British Merseybeat band Gerry and the Pacemakers.
-
D.
Why Would I Stop?
"Why Would I Stop?" is a track by American rapper Big Sean, featured on his 2020 album "Detroit 2."
-
E.
Don’t Stop
"Don’t Stop" is a track by Snoop Dogg featured on his 2006 studio album *Tha Blue Carpet Treatment*.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a3d77c48190b7fcde4708ca3811 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.