Triple
T12925676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnival Ride |
E309238
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | All-American Girl |
E634567
|
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: All-American Girl | Statement: [Carnival Ride, hasTrack, All-American Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All-American Girl Context triple: [Carnival Ride, hasTrack, All-American Girl]
-
A.
All-American Girl
chosen
All-American Girl is a 1990s American sitcom best known as one of the first network television shows to center on an Asian American family, starring comedian Margaret Cho.
-
B.
Beautiful Girl
"Beautiful Girl" is a song featured on the album *Shine On*.
-
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.
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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:42 p.m.