Triple
T15964895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Tent |
E387160
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gina Sorya Tent
Gina Sorya Tent is the wife of American film editor Kevin Tent, known for her connection to the film industry through their marriage.
|
E1187152
|
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: Gina Sorya Tent | Statement: [Kevin Tent, spouse, Gina Sorya Tent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Sorya Tent Context triple: [Kevin Tent, spouse, Gina Sorya Tent]
-
A.
Gina Shay
Gina Shay is an American film producer best known for her work on animated features at DreamWorks Animation, including the hit musical comedy "Trolls."
-
B.
Gina
Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
-
C.
Gina Bandari
Gina Bandari is a character on the medical drama series "Emily Owens, M.D.," serving as one of the doctors who interacts closely with the titular protagonist.
-
D.
Sariah Paki
Sariah Paki is an Australian rugby sevens player who has represented her country at the international level, including major World Series and multi-sport tournaments.
-
E.
Tonia
Tonia is a feminine given name, typically used as a short form of Antonia.
- 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: Gina Sorya Tent Triple: [Kevin Tent, spouse, Gina Sorya Tent]
Generated description
Gina Sorya Tent is the wife of American film editor Kevin Tent, known for her connection to the film industry through their marriage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gina Sorya Tent Target entity description: Gina Sorya Tent is the wife of American film editor Kevin Tent, known for her connection to the film industry through their marriage.
-
A.
Gina Shay
Gina Shay is an American film producer best known for her work on animated features at DreamWorks Animation, including the hit musical comedy "Trolls."
-
B.
Gina
Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
-
C.
Gina Bandari
Gina Bandari is a character on the medical drama series "Emily Owens, M.D.," serving as one of the doctors who interacts closely with the titular protagonist.
-
D.
Sariah Paki
Sariah Paki is an Australian rugby sevens player who has represented her country at the international level, including major World Series and multi-sport tournaments.
-
E.
Tonia
Tonia is a feminine given name, typically used as a short form of Antonia.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572475948190af0e3b12de0f6cea |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe84f4888190b3fdb5f32763f78d |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbfcbe93c819097df2c4da159b352 |
completed | May 9, 2026, 11:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc09df25481908674f306b0f96f95 |
completed | May 9, 2026, 11:17 p.m. |
Created at: April 10, 2026, 4:54 a.m.