Triple

T19516420
Position Surface form Disambiguated ID Type / Status
Subject Infinity Train E488288 entity
Predicate mainCharacterInBookTwo P107506 FINISHED
Object MT NE NERFINISHED

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: MT | Statement: [Infinity Train, mainCharacterInBookTwo, MT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MT
Context triple: [Infinity Train, mainCharacterInBookTwo, MT]
  • A. MT
    MT is the stock ticker symbol for ArcelorMittal, one of the world’s largest steel and mining companies.
  • B. MT
    MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • C. MAT
    MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
  • D. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • E. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MT
Target entity description: MT is a central character in the animated anthology series "Infinity Train," known for being a reflective, rebellious denizen of the train who struggles with questions of identity and autonomy.
  • A. MT
    MT is the stock ticker symbol for ArcelorMittal, one of the world’s largest steel and mining companies.
  • B. MT
    MT is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
  • C. MAT
    MAT is the commonly used abbreviation for the Moscow Art Theatre, a historic and influential Russian theatre company renowned for its pioneering work in modern drama and acting techniques.
  • D. .mt
    .mt is the country code top-level domain (ccTLD) assigned to Malta for use on the internet.
  • E. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainCharacterInBookTwo
Context triple: [Infinity Train, mainCharacterInBookTwo, MT]
  • A. secondMovementCharacter
    Indicates the characteristic or quality that defines the second movement of a multi-movement work.
  • B. secondaryProtagonistType
    Indicates the role or category of a work’s secondary main character in relation to the primary protagonist.
  • C. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • D. laterMainCharacterOf chosen
    Indicates that one entity becomes the main character of a work at a later point in time, succeeding another main character.
  • E. hasSecondaryProtagonist
    Indicates that an entity (such as a work of fiction) features another character who serves as a secondary or supporting main protagonist alongside the primary one.
  • F. None of above.

Provenance (3 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359ca7648190804c4d655170fda3 completed April 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69e4fd7bd25881908caa04eaef1f6718 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:40 p.m.