Triple
T17387868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Hill |
E422734
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | All-American Girl |
—
|
NE NERFINISHED |
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: [Amy Hill, notableWork, All-American Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All-American Girl Context triple: [Amy Hill, notableWork, 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.
Every Girl
"Every Girl" is a 2009 hip hop single by Young Money Entertainment featuring several of the label’s artists, known for its catchy hook and sexually explicit lyrics.
-
C.
Beautiful Girl
"Beautiful Girl" is a song featured on the album *Shine On*.
-
D.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
E.
Got a Girl
Got a Girl is a pop music duo and side project of actress-singer Mary Elizabeth Winstead, known for its retro, French-influenced sound created in collaboration with producer Dan the Automator.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8b66288190b29bb82eff761902 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.