Triple
T12101570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina: The Tina Turner Musical |
E288201
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object | Don’t Turn Around |
E819984
|
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: Don’t Turn Around | Statement: [Tina: The Tina Turner Musical, hasSong, Don’t Turn Around]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don’t Turn Around Context triple: [Tina: The Tina Turner Musical, hasSong, Don’t Turn Around]
-
A.
Don’t Turn Around
chosen
"Don’t Turn Around" is a 1964 pop song originally recorded by the British Merseybeat band The Merseybeats.
-
B.
Turn Around
Turn Around is a Grammy-winning contemporary Christian and blues-rock album by American guitarist and singer Jonny Lang.
-
C.
Turn Around
"Turn Around" is a folk song, popularized in the 1950s and 1960s, that poignantly reflects on the swift passage of childhood into adulthood.
-
D.
Turn It Around
"Turn It Around" is a popular indie pop song by the American band Lucius, noted for its catchy melodies and rich vocal harmonies.
-
E.
Love Will Turn You Around
"Love Will Turn You Around" is a 1982 country-pop song by Kenny Rogers that also served as the theme for the film "Six Pack."
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9155576b48190849f0c3e079a935f |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f674eab481909859b5403741eddd |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.