Triple

T24711185
Position Surface form Disambiguated ID Type / Status
Subject All Systems Red E612029 entity
Predicate hasFictionalCorporation P158093 FINISHED
Object The Company
The Company is the ruthless, profit-driven corporate entity that owns and controls the part-organic security units in Martha Wells' Murderbot Diaries series.
 E1647028 NE FINISHED

How this triple was built (3 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: The Company | Statement: [All Systems Red, hasFictionalCorporation, The Company]
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: The Company
Triple: [All Systems Red, hasFictionalCorporation, The Company]
Generated description
The Company is the ruthless, profit-driven corporate entity that owns and controls the part-organic security units in Martha Wells' Murderbot Diaries series.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFictionalCorporation
Context triple: [All Systems Red, hasFictionalCorporation, The Company]
  • A. hasFictionalParentCompany
    Indicates that an entity is associated with a parent company that exists only in a fictional or imaginary context.
  • B. hasFictionalProductionCompany
    Indicates that one entity is associated with or owns a production company that exists only within a fictional context.
  • C. fictionalCorporation
    Indicates that an entity is a corporation that exists only in fiction rather than in the real world.
  • D. worksForFictionalOrganization
    Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
  • E. hasFictionalBusinessType
    Indicates that an entity is associated with a type or category of fictional business it operates or represents.
  • F. None of above. chosen

Provenance (7 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_69e2c4d9c24c8190a3712d74327f0c6e completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10101151588190aed2e3b78d2b8f26 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136c6ea88190804695a63f4bf0fd completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1013c36d648190b0dda9f111eff61d completed May 22, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
PDg Predicate description generation batch_69f464ae42e88190b3549fdf4e0b425e completed May 1, 2026, 8:30 a.m.
Created at: April 18, 2026, 3:24 a.m.