Triple
T11571122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mae Clarke |
E274387
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Parole Girl
Parole Girl is a 1933 American crime drama film starring Mae Clarke as a woman navigating life and love after her release from prison.
|
E934042
|
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: Parole Girl | Statement: [Mae Clarke, notableWork, Parole Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parole Girl Context triple: [Mae Clarke, notableWork, Parole Girl]
-
A.
Hold the Girl
Hold the Girl is a genre-blending pop album by Rina Sawayama that explores themes of identity, trauma, and healing through theatrical production and emotionally charged songwriting.
-
B.
White Girl
"White Girl" is a 2016 independent drama film about a college student’s reckless summer of drugs and obsession in New York City, in which Justin Bartha appears.
-
C.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
D.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
E.
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
- 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: Parole Girl Triple: [Mae Clarke, notableWork, Parole Girl]
Generated description
Parole Girl is a 1933 American crime drama film starring Mae Clarke as a woman navigating life and love after her release from prison.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parole Girl Target entity description: Parole Girl is a 1933 American crime drama film starring Mae Clarke as a woman navigating life and love after her release from prison.
-
A.
Hold the Girl
Hold the Girl is a genre-blending pop album by Rina Sawayama that explores themes of identity, trauma, and healing through theatrical production and emotionally charged songwriting.
-
B.
White Girl
"White Girl" is a 2016 independent drama film about a college student’s reckless summer of drugs and obsession in New York City, in which Justin Bartha appears.
-
C.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
D.
Good Girl
"Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
-
E.
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd6913881908becf188c0a7a275 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8eface48190a2ed3275191b01ea |
completed | April 21, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69e6ef9631e48190aef47bba9ad611e8 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f94ac2d0819098a3024eaab908b5 |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:38 p.m.