Triple
T3653273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Basis of Sex |
E77470
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jonathan King
Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
|
E375712
|
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: Jonathan King | Statement: [On the Basis of Sex, producer, Jonathan King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan King Context triple: [On the Basis of Sex, producer, Jonathan King]
-
A.
Jonathan King
Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
-
B.
Mark King
Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
-
C.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
-
D.
Donald King
Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
-
E.
Mike King
Mike King is an American professional baseball pitcher who played college baseball at Boston College before reaching Major League Baseball.
- 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: Jonathan King Triple: [On the Basis of Sex, producer, Jonathan King]
Generated description
Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jonathan King Target entity description: Jonathan King is a film producer best known for his work on the biographical legal drama "On the Basis of Sex," which chronicles Ruth Bader Ginsburg's early career.
-
A.
Jonathan King
Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
-
B.
Mark King
Mark King is a musician best known as the lead vocalist and bassist of the British jazz-funk band Level 42.
-
C.
Jeff King
Jeff King is a television producer and writer known for his work on various drama series.
-
D.
Donald King
Donald King is a flamboyant and controversial American boxing promoter known for organizing some of the sport’s most famous heavyweight championship bouts.
-
E.
Mike King
Mike King is an American professional baseball pitcher who played college baseball at Boston College before reaching Major League Baseball.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b805a48190a7bc230a382365d6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f4541dc8190b794eae019dcffbf |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b45258be648190a98f60bd0cf57faa |
completed | March 13, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45eec592481908e2f002aa2127849 |
completed | March 13, 2026, 7:01 p.m. |
Created at: March 8, 2026, 3:24 p.m.