Triple
T13702458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffy |
E328552
|
entity |
| Predicate | hasSequel |
P1961
|
FINISHED |
| Object |
Foxy Brown
Foxy Brown is a 1974 blaxploitation film starring Pam Grier as a tough vigilante seeking revenge against a drug and prostitution ring.
|
E1056892
|
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: Foxy Brown | Statement: [Coffy, hasSequel, Foxy Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foxy Brown Context triple: [Coffy, hasSequel, Foxy Brown]
-
A.
Foxy Brown
Foxy Brown is an American rapper known for her influential work in 1990s hip hop, including the album "Ill Na Na" and her membership in the group The Firm.
-
B.
Damita Jo
Damita Jo is Janet Jackson’s 2004 R&B and pop studio album known for its sensual themes and fusion of dance, soul, and hip-hop influences.
-
C.
Damita Jo Freeman
Damita Jo Freeman is an American dancer and actress best known for her work on the television show "Soul Train" and her appearances in film and television during the 1970s and 1980s.
-
D.
Renee Raddick
Renee Raddick is a confident, outspoken district attorney and close friend of Ally on the television series "Ally McBeal."
-
E.
Cheryl Lynn
Cheryl Lynn is an American R&B and disco singer best known for her 1978 hit single "Got to Be Real."
- 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: Foxy Brown Triple: [Coffy, hasSequel, Foxy Brown]
Generated description
Foxy Brown is a 1974 blaxploitation film starring Pam Grier as a tough vigilante seeking revenge against a drug and prostitution ring.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foxy Brown Target entity description: Foxy Brown is a 1974 blaxploitation film starring Pam Grier as a tough vigilante seeking revenge against a drug and prostitution ring.
-
A.
Foxy Brown
Foxy Brown is an American rapper known for her influential work in 1990s hip hop, including the album "Ill Na Na" and her membership in the group The Firm.
-
B.
Damita Jo
Damita Jo is Janet Jackson’s 2004 R&B and pop studio album known for its sensual themes and fusion of dance, soul, and hip-hop influences.
-
C.
Damita Jo Freeman
Damita Jo Freeman is an American dancer and actress best known for her work on the television show "Soul Train" and her appearances in film and television during the 1970s and 1980s.
-
D.
Renee Raddick
Renee Raddick is a confident, outspoken district attorney and close friend of Ally on the television series "Ally McBeal."
-
E.
Cheryl Lynn
Cheryl Lynn is an American R&B and disco singer best known for her 1978 hit single "Got to Be Real."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e77b5e88190a85f4061c8abb8a4 |
completed | May 3, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fa5249481909b2c046ed9801371 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:54 p.m.