Triple

T6739321
Position Surface form Disambiguated ID Type / Status
Subject Hachette UK E154033 entity
Predicate owns P347 FINISHED
Object Sphere
Sphere is a British publishing imprint known for releasing a wide range of commercial fiction and non-fiction titles.
 E616748 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: Sphere | Statement: [Hachette UK, owns, Sphere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sphere
Context triple: [Hachette UK, owns, Sphere]
  • A. Sphere
    "Sphere" is a 1998 science fiction thriller film directed by Barry Levinson, based on Michael Crichton's novel about a team of scientists investigating a mysterious spacecraft on the ocean floor.
  • B. SPHERE
    SPHERE is a high-contrast imaging instrument on the Very Large Telescope designed primarily for directly observing and characterizing exoplanets and circumstellar disks.
  • C. Ball
    Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
  • D. Ball
    Ball is a well-known consumer brand, particularly recognized for its glass canning jars and home food preservation products.
  • E. Spheriks
    Spheriks are a group of animated, spherical characters created as the official mascots for the UEFA European Football Championship.
  • 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: Sphere
Triple: [Hachette UK, owns, Sphere]
Generated description
Sphere is a British publishing imprint known for releasing a wide range of commercial fiction and non-fiction titles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sphere
Target entity description: Sphere is a British publishing imprint known for releasing a wide range of commercial fiction and non-fiction titles.
  • A. Sphere
    "Sphere" is a 1998 science fiction thriller film directed by Barry Levinson, based on Michael Crichton's novel about a team of scientists investigating a mysterious spacecraft on the ocean floor.
  • B. SPHERE
    SPHERE is a high-contrast imaging instrument on the Very Large Telescope designed primarily for directly observing and characterizing exoplanets and circumstellar disks.
  • C. Ball
    Ball is a common English surname borne by numerous individuals, including the famed American comedian and actress Lucille Ball.
  • D. Ball
    Ball is a well-known consumer brand, particularly recognized for its glass canning jars and home food preservation products.
  • E. Spheriks
    Spheriks are a group of animated, spherical characters created as the official mascots for the UEFA European Football Championship.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d187c8788190b9fc1ebc9a66a520 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0db3f481909b5281c63cc32dd1 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70b83f24c819091a6a2a7802c830f completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70f676e408190bc85a2760446d5d1 completed March 27, 2026, 11:14 p.m.
Created at: March 27, 2026, 2:10 p.m.