Triple
T9428602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Déjà Vu |
E227316
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Country Girl
"Country Girl" is a song by Olivia Rodrigo from her album "Déjà Vu."
|
E800093
|
NE FINISHED |
How this triple was built (4 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: Country Girl | Statement: [Déjà Vu, hasTrack, Country Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Country Girl Context triple: [Déjà Vu, hasTrack, Country Girl]
-
A.
Down Home Girl
"Down Home Girl" is a 1964 R&B song originally recorded by The Coasters that later became widely known through a popular cover by the Rolling Stones.
-
B.
The Country Girl
The Country Girl is a 1954 drama film in which Grace Kelly delivered an Oscar-winning performance as the troubled wife of an alcoholic actor.
-
C.
A Little Country Girl
"A Little Country Girl" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of youth, innocence, and social awakening in a Southern setting.
-
D.
Country Boy Do
Country Boy Do is a song by the American country music band Heartland.
-
E.
Cowgirls
The Cowgirls are the women's athletic teams representing the University of Wyoming in NCAA competition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Country Girl Triple: [Déjà Vu, hasTrack, Country Girl]
Generated description
"Country Girl" is a song by Olivia Rodrigo from her album "Déjà Vu."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Country Girl Target entity description: "Country Girl" is a song by Olivia Rodrigo from her album "Déjà Vu."
-
A.
Down Home Girl
"Down Home Girl" is a 1964 R&B song originally recorded by The Coasters that later became widely known through a popular cover by the Rolling Stones.
-
B.
The Country Girl
The Country Girl is a 1954 drama film in which Grace Kelly delivered an Oscar-winning performance as the troubled wife of an alcoholic actor.
-
C.
A Little Country Girl
"A Little Country Girl" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of youth, innocence, and social awakening in a Southern setting.
-
D.
Country Boy Do
Country Boy Do is a song by the American country music band Heartland.
-
E.
Cowgirls
The Cowgirls are the women's athletic teams representing the University of Wyoming in NCAA competition.
- F. None of above. chosen
Provenance (5 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d1149f6f6c81908ea2fce6f29ccb64 |
completed | April 4, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d115168d748190909687d39fb79e24 |
completed | April 4, 2026, 1:41 p.m. |
Created at: March 30, 2026, 7:49 p.m.