Triple
T22368240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jemma Jupe |
E552966
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
Jupe family
The Jupe family is a fictional household featured in literature, centered around characters such as Jemma Jupe.
|
E1533193
|
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: Jupe family | Statement: [Jemma Jupe, memberOf, Jupe family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jupe family Context triple: [Jemma Jupe, memberOf, Jupe family]
-
A.
Sen family
The Sen family is a prominent Indian film dynasty known for its multi-generational contributions to Bengali and Hindi cinema.
-
B.
Sen family
The Sen family is the hereditary lineage of Japanese tea masters descended from Sen no Rikyū, central to the development and transmission of the Japanese tea ceremony.
-
C.
Bon family
The Bon family was a prominent Venetian noble lineage known for its wealth, political influence, and ownership of significant palaces in Venice.
-
D.
Joy family
The Joy family is the namesake of Joy Farm, likely a family historically associated with owning, founding, or significantly influencing the property.
-
E.
Bündchen family
The Bündchen family is a Brazilian family best known for including supermodel Gisele Bündchen and her relatives, such as Graziella Bündchen.
- 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: Jupe family Triple: [Jemma Jupe, memberOf, Jupe family]
Generated description
The Jupe family is a fictional household featured in literature, centered around characters such as Jemma Jupe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jupe family Target entity description: The Jupe family is a fictional household featured in literature, centered around characters such as Jemma Jupe.
-
A.
Sen family
The Sen family is the hereditary lineage of Japanese tea masters descended from Sen no Rikyū, central to the development and transmission of the Japanese tea ceremony.
-
B.
Sen family
The Sen family is a prominent Indian film dynasty known for its multi-generational contributions to Bengali and Hindi cinema.
-
C.
Bon family
The Bon family was a prominent Venetian noble lineage known for its wealth, political influence, and ownership of significant palaces in Venice.
-
D.
Joy family
The Joy family is the namesake of Joy Farm, likely a family historically associated with owning, founding, or significantly influencing the property.
-
E.
Bündchen family
The Bündchen family is a Brazilian family best known for including supermodel Gisele Bündchen and her relatives, such as Graziella Bündchen.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580229688190a6e5e02b484033f7 |
completed | April 29, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae0685c7881908d0ed5fee6d17b5f |
completed | May 18, 2026, 9:48 a.m. |
| NEDg | Description generation | batch_6a0ae4812f4481908ed0e00937419241 |
completed | May 18, 2026, 10:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ae515d6808190bc7bee259c12ca6e |
completed | May 18, 2026, 10:08 a.m. |
Created at: April 16, 2026, 8:44 p.m.