Triple

T17218270
Position Surface form Disambiguated ID Type / Status
Subject Carole Ann Ford E417906 entity
Predicate appearedIn P795 FINISHED
Object Compact
"Compact" is a 1960s British television series in which Carole Ann Ford appeared, best known as a BBC drama set in the world of magazine publishing.
 E1257627 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: Compact | Statement: [Carole Ann Ford, appearedIn, Compact]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Compact
Context triple: [Carole Ann Ford, appearedIn, Compact]
  • A. Slimm
    Slimm is an American rapper best known for his work with the Dungeon Family collective and his early-2000s solo releases.
  • B. Mini
    Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
  • C. Mini
    Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
  • D. Concise
    Concise is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Neuchâtel.
  • E. Small
    Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
  • 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: Compact
Triple: [Carole Ann Ford, appearedIn, Compact]
Generated description
"Compact" is a 1960s British television series in which Carole Ann Ford appeared, best known as a BBC drama set in the world of magazine publishing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Compact
Target entity description: "Compact" is a 1960s British television series in which Carole Ann Ford appeared, best known as a BBC drama set in the world of magazine publishing.
  • A. Slimm
    Slimm is an American rapper best known for his work with the Dungeon Family collective and his early-2000s solo releases.
  • B. Mini
    Mini is a young Bengali girl in Rabindranath Tagore’s short story "Kabuliwala," whose innocent friendship with an Afghan fruit seller forms the emotional core of the narrative.
  • C. Mini
    Mini is a British automotive marque best known for its compact, stylish small cars that originated with the iconic Mini of the 1960s.
  • D. Concise
    Concise is a small municipality in the canton of Vaud in western Switzerland, situated near Lake Neuchâtel.
  • E. Small
    Small is a peer-reviewed scientific journal focusing on nanoscience and nanotechnology, including research on nanoscale materials, devices, and systems.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddb2b148190b3b50572cc285e3d completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675553b88190a04987b0de62cb15 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a0169e5f7e881909cb3fe35935d888d completed May 11, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a016a46409881908ea7e93fd31cd5c5 completed May 11, 2026, 5:33 a.m.
Created at: April 10, 2026, 5:38 a.m.