Triple
T17719337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa Randle |
E442289
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Girl 6
Girl 6 is a 1996 Spike Lee film that follows an aspiring actress who takes a job as a phone sex operator, exploring themes of identity, exploitation, and celebrity culture.
|
E1284486
|
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 6 | Statement: [Theresa Randle, notableWork, Girl 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girl 6 Context triple: [Theresa Randle, notableWork, Girl 6]
-
A.
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."
-
B.
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.
-
C.
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.
-
D.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
E.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
- 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 6 Triple: [Theresa Randle, notableWork, Girl 6]
Generated description
Girl 6 is a 1996 Spike Lee film that follows an aspiring actress who takes a job as a phone sex operator, exploring themes of identity, exploitation, and celebrity culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Girl 6 Target entity description: Girl 6 is a 1996 Spike Lee film that follows an aspiring actress who takes a job as a phone sex operator, exploring themes of identity, exploitation, and celebrity culture.
-
A.
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."
-
B.
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.
-
C.
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.
-
D.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
E.
The Girls
The Girls is a novel by British writer John Bowen, known for its darkly comic and unsettling exploration of gender, power, and social norms.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e474844ff48190b1cf181eb9c113d9 |
completed | April 19, 2026, 6:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02302defe081909eaeb1f90d497561 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231835c748190b6908d6ddb5f25b4 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0232033f788190b0be2d3976ed57e4 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:07 a.m.