Triple
T23091246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent |
E575754
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Hannah Kent
Hannah Kent is an Australian author best known for her critically acclaimed historical novels such as "Burial Rites" and "The Good People."
|
E1570343
|
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: Hannah Kent | Statement: [Kent, hasNotableBearer, Hannah Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Kent Context triple: [Kent, hasNotableBearer, Hannah Kent]
-
A.
Eleanor Catton
Eleanor Catton is a New Zealand novelist best known for her Booker Prize–winning historical novel "The Luminaries."
-
B.
Michelle de Kretser
Michelle de Kretser is a Sri Lankan-born Australian novelist acclaimed for her richly crafted, psychologically nuanced fiction and multiple major literary awards.
-
C.
Jessie Burton
Jessie Burton is a British novelist best known for her bestselling historical fiction debut "The Miniaturist."
-
D.
Jennifer Haigh
Jennifer Haigh is an American novelist and short story writer known for her character-driven literary fiction exploring family, class, and the impact of the energy industry on small-town life.
-
E.
Kate Ashfield
Kate Ashfield is a British actress best known for her role as Liz in the cult zombie comedy film "Shaun of the Dead."
- 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: Hannah Kent Triple: [Kent, hasNotableBearer, Hannah Kent]
Generated description
Hannah Kent is an Australian author best known for her critically acclaimed historical novels such as "Burial Rites" and "The Good People."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannah Kent Target entity description: Hannah Kent is an Australian author best known for her critically acclaimed historical novels such as "Burial Rites" and "The Good People."
-
A.
Eleanor Catton
Eleanor Catton is a New Zealand novelist best known for her Booker Prize–winning historical novel "The Luminaries."
-
B.
Michelle de Kretser
Michelle de Kretser is a Sri Lankan-born Australian novelist acclaimed for her richly crafted, psychologically nuanced fiction and multiple major literary awards.
-
C.
Jessie Burton
Jessie Burton is a British novelist best known for her bestselling historical fiction debut "The Miniaturist."
-
D.
Jennifer Haigh
Jennifer Haigh is an American novelist and short story writer known for her character-driven literary fiction exploring family, class, and the impact of the energy industry on small-town life.
-
E.
Kate Ashfield
Kate Ashfield is a British actress best known for her role as Liz in the cult zombie comedy film "Shaun of the Dead."
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15b97b6881909cbc1afc68ea80b6 |
completed | May 19, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_6a0c175e246081909d6451f245ccfe66 |
completed | May 19, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1820a4d88190aed59f50b4e7ec47 |
completed | May 19, 2026, 7:58 a.m. |
Created at: April 17, 2026, 3:57 p.m.