Triple
T15861632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelley Fabares |
E384600
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Girl Happy
Girl Happy is a 1965 musical comedy film starring Elvis Presley as a nightclub singer sent to watch over a mobster’s daughter during spring break in Fort Lauderdale.
|
E1180854
|
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: Girl Happy | Statement: [Shelley Fabares, notableWork, Girl Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl Happy Context triple: [Shelley Fabares, notableWork, Girl Happy]
-
A.
Baby Girl
"Baby Girl" is a song by American R&B duo Chloe x Halle from their critically acclaimed 2020 album "Ungodly Hour."
-
B.
Young Girl
Young Girl is a song by the American pop group The Guess Who, featured as a track on their album "In My Mind."
-
C.
Young Girl
"Young Girl" is a 1968 pop song by Gary Puckett & The Union Gap, known for its dramatic vocals and controversial lyrics about an age-inappropriate romance.
-
D.
Girl Tonite
"Girl Tonite" is an R&B/hip-hop single by Twista featuring Trey Songz, known for its smooth, melodic style and romantic themes.
-
E.
Little Miss
Little Miss is a fictional character from the "Little Miss" series of children's books by Roger Hargreaves, known for her simple, colorful design and personality-driven stories.
- 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: Girl Happy Triple: [Shelley Fabares, notableWork, Girl Happy]
Generated description
Girl Happy is a 1965 musical comedy film starring Elvis Presley as a nightclub singer sent to watch over a mobster’s daughter during spring break in Fort Lauderdale.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girl Happy Target entity description: Girl Happy is a 1965 musical comedy film starring Elvis Presley as a nightclub singer sent to watch over a mobster’s daughter during spring break in Fort Lauderdale.
-
A.
Baby Girl
"Baby Girl" is a song by American R&B duo Chloe x Halle from their critically acclaimed 2020 album "Ungodly Hour."
-
B.
Young Girl
Young Girl is a song by the American pop group The Guess Who, featured as a track on their album "In My Mind."
-
C.
Young Girl
"Young Girl" is a 1968 pop song by Gary Puckett & The Union Gap, known for its dramatic vocals and controversial lyrics about an age-inappropriate romance.
-
D.
Girl Tonite
"Girl Tonite" is an R&B/hip-hop single by Twista featuring Trey Songz, known for its smooth, melodic style and romantic themes.
-
E.
Little Miss
Little Miss is a fictional character from the "Little Miss" series of children's books by Roger Hargreaves, known for her simple, colorful design and personality-driven stories.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555c75688190aeae5bcf5bb92bb7 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9439db481908be2f6d8a3cfbc85 |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffaa07df788190bae67f3d9a800331 |
completed | May 9, 2026, 9:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaaa92a648190a09829ef3197223c |
completed | May 9, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:50 a.m.