Triple
T5784554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classics IV |
E128236
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Kim Venable
Kim Venable is a musician best known as a member of the American soft rock band Classics IV, active during the late 1960s and early 1970s.
|
E587496
|
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: Kim Venable | Statement: [Classics IV, member, Kim Venable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Venable Context triple: [Classics IV, member, Kim Venable]
-
A.
Vickie Johnson
Vickie Johnson is a former WNBA guard and experienced professional basketball coach who has led multiple teams in the league.
-
B.
Valerie Simpson
Valerie Simpson is an American singer, songwriter, and record producer best known as half of the Motown songwriting duo Ashford & Simpson, who created numerous soul and R&B classics.
-
C.
Karen Pittman
Karen Pittman is an American actress known for her work in television, film, and theater, including prominent roles in series like The Morning Show and And Just Like That.
-
D.
Victoria Kheel
Victoria Kheel is an American set decorator and former spouse of actor James Spader.
-
E.
Kelly Dixon
Kelly Dixon is a film editor best known for her work on major projects including the Marvel Studios sequel "Black Panther: Wakanda Forever."
- 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: Kim Venable Triple: [Classics IV, member, Kim Venable]
Generated description
Kim Venable is a musician best known as a member of the American soft rock band Classics IV, active during the late 1960s and early 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Venable Target entity description: Kim Venable is a musician best known as a member of the American soft rock band Classics IV, active during the late 1960s and early 1970s.
-
A.
Vickie Johnson
Vickie Johnson is a former WNBA guard and experienced professional basketball coach who has led multiple teams in the league.
-
B.
Valerie Simpson
Valerie Simpson is an American singer, songwriter, and record producer best known as half of the Motown songwriting duo Ashford & Simpson, who created numerous soul and R&B classics.
-
C.
Karen Pittman
Karen Pittman is an American actress known for her work in television, film, and theater, including prominent roles in series like The Morning Show and And Just Like That.
-
D.
Victoria Kheel
Victoria Kheel is an American set decorator and former spouse of actor James Spader.
-
E.
Kelly Dixon
Kelly Dixon is a film editor best known for her work on major projects including the Marvel Studios sequel "Black Panther: Wakanda Forever."
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a19870c819084dc68b36b0cdd60 |
completed | March 22, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62ce885bc8190b2ba6b689913b387 |
completed | March 27, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69c62e0ebf308190a75f64a43b10f70f |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62e5b695c8190b7451fe39164d443 |
completed | March 27, 2026, 7:14 a.m. |
Created at: March 22, 2026, 3:51 p.m.