Triple

T3659791
Position Surface form Disambiguated ID Type / Status
Subject The Tenth Planet E77619 entity
Predicate featuresCompanion P48101 FINISHED
Object Polly
Polly is a fictional companion of the Doctor in the long-running British science fiction television series Doctor Who.
E378461 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: Polly | Statement: [The Tenth Planet, featuresCompanion, Polly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polly
Context triple: [The Tenth Planet, featuresCompanion, Polly]
  • A. Polly
    Polly is a ballad opera by John Gay, written as a sequel to his famous work "The Beggar's Opera" and noted for its satirical treatment of colonialism and morality.
  • B. Polly
    Polly is the nickname of Mary Prince, a West Indian woman whose 1831 autobiography was the first account of a Black woman’s life published in Britain and a powerful indictment of slavery.
  • C. Polly
    Polly is a fictional character known as the daughter of Uncle Tom in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin."
  • D. Polly
    Polly is an LLVM project component that performs advanced loop optimizations and automatic parallelization using polyhedral compilation techniques.
  • E. Mavis
    Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
  • 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: Polly
Triple: [The Tenth Planet, featuresCompanion, Polly]
Generated description
Polly is a fictional companion of the Doctor in the long-running British science fiction television series Doctor Who.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Polly
Target entity description: Polly is a fictional companion of the Doctor in the long-running British science fiction television series Doctor Who.
  • A. Polly
    Polly is a ballad opera by John Gay, written as a sequel to his famous work "The Beggar's Opera" and noted for its satirical treatment of colonialism and morality.
  • B. Polly
    Polly is the nickname of Mary Prince, a West Indian woman whose 1831 autobiography was the first account of a Black woman’s life published in Britain and a powerful indictment of slavery.
  • C. Polly
    Polly is a fictional character known as the daughter of Uncle Tom in Harriet Beecher Stowe’s novel "Uncle Tom’s Cabin."
  • D. Polly
    Polly is an LLVM project component that performs advanced loop optimizations and automatic parallelization using polyhedral compilation techniques.
  • E. Mavis
    Mavis is a character in Enid Blyton’s "Malory Towers" series, known as a talented but vain singer whose ambition often leads her into trouble.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48842b28881908c6a077cfaa8b092 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48e0d2cfc8190b55d8060cc092411 completed March 13, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_69b4b96e73fc8190aa11d1e1a06d5c25 completed March 14, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:25 p.m.