Triple
T1616779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Rubicam |
E34735
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Boy Meets Girl |
E182850
|
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: Boy Meets Girl | Statement: [Shannon Rubicam, associatedAct, Boy Meets Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boy Meets Girl Context triple: [Shannon Rubicam, associatedAct, Boy Meets Girl]
-
A.
Boy Meets Girl
chosen
Boy Meets Girl is an American pop duo best known for their 1988 hit single "Waiting for a Star to Fall."
-
B.
Oh Girl
"Oh Girl" is a song co-written by American songwriter Shannon Rubicam, best known as half of the pop duo Boy Meets Girl.
-
C.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
D.
That Girl
"That Girl" is a 1981 R&B/soul single by Stevie Wonder, known for its smooth groove, synthesizer-driven production, and chart success in the early 1980s.
-
E.
A Girl Like Me
A Girl Like Me is Rihanna’s second studio album, featuring a blend of Caribbean-influenced pop and R&B that helped establish her as an international star.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909abbec081908f95547471530ad5 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71a348788190ae6b8d0b4f10559b |
completed | March 8, 2026, 12:54 p.m. |
Created at: March 4, 2026, 7:28 p.m.