Triple
T4323539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Train (Nine to Five) |
E96576
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Modern Girl |
E96584
|
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: Modern Girl | Statement: [Morning Train (Nine to Five), precededBySingle, Modern Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Modern Girl Context triple: [Morning Train (Nine to Five), precededBySingle, Modern Girl]
-
A.
Modern Girl
chosen
"Modern Girl" is a 1980 pop song by Scottish singer Sheena Easton that became one of her early hits and helped launch her international music career.
-
B.
Most Girls
"Most Girls" is a 2017 pop single by American singer and actress Hailee Steinfeld that promotes female empowerment and individuality.
-
C.
Forever Female
Forever Female is a 1953 American comedy-drama film starring Ginger Rogers as an aging Broadway actress grappling with youth, ambition, and changing roles in the theater.
-
D.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
E.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35118abe481908b7987019be217e1 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09165a8819089fbb9b9ed4c82ff |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.