Triple
T13694357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takers |
E328345
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Avery Duff
Avery Duff is an author best known for writing the crime novel "Takers."
|
E1096936
|
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: Avery Duff | Statement: [Takers, writer, Avery Duff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avery Duff Context triple: [Takers, writer, Avery Duff]
-
A.
Radha Mitchell
Radha Mitchell is an Australian actress known for her versatile performances in independent films and Hollywood productions, including notable roles in dramas, thrillers, and horror films.
-
B.
Melissa Hudson
Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
-
C.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
D.
Daniela Denby-Ashe
Daniela Denby-Ashe is a British actress best known for her roles in television series such as "My Family," "EastEnders," and the period drama "North & South."
-
E.
Jeannine Pratt
Jeannine Pratt is a supporting character in Judith Guest’s novel and its film adaptation "Ordinary People," serving as Conrad Jarrett’s love interest and a source of warmth and understanding during his emotional recovery.
- 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: Avery Duff Triple: [Takers, writer, Avery Duff]
Generated description
Avery Duff is an author best known for writing the crime novel "Takers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avery Duff Target entity description: Avery Duff is an author best known for writing the crime novel "Takers."
-
A.
Radha Mitchell
Radha Mitchell is an Australian actress known for her versatile performances in independent films and Hollywood productions, including notable roles in dramas, thrillers, and horror films.
-
B.
Melissa Hudson
Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
-
C.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
D.
Daniela Denby-Ashe
Daniela Denby-Ashe is a British actress best known for her roles in television series such as "My Family," "EastEnders," and the period drama "North & South."
-
E.
Jeannine Pratt
Jeannine Pratt is a supporting character in Judith Guest’s novel and its film adaptation "Ordinary People," serving as Conrad Jarrett’s love interest and a source of warmth and understanding during his emotional recovery.
- 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_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f748d481909661deb151da34c1 |
completed | May 8, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_69fd56aaf0dc8190b0eaf84822eb15f0 |
completed | May 8, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5731c9188190bda2958bef87dfe2 |
completed | May 8, 2026, 3:23 a.m. |
Created at: April 9, 2026, 9:54 p.m.