Triple
T13832428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Flight |
E332433
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lonely Girl |
E332430
|
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: Lonely Girl | Statement: [In Flight, hasPart, Lonely Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonely Girl Context triple: [In Flight, hasPart, Lonely Girl]
-
A.
Lonely Girl
chosen
"Lonely Girl" is a song by American singer-songwriter and producer Linda Perry, known for its introspective lyrics and emotive vocal style.
-
B.
One Less Lonely Girl
"One Less Lonely Girl" is a pop-R&B song by Canadian singer Justin Bieber from his debut EP "My World," known for its romantic theme and early role in launching his career.
-
C.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
D.
Just One Girl
"Just One Girl" is a song included in the soundtrack of the classic musical film *By the Light of the Silvery Moon*.
-
E.
Lonely Boy
"Lonely Boy" is a 1959 pop song by Canadian singer-songwriter Paul Anka that became one of his signature hits and a classic of the early rock and roll era.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.