Triple

T18039065
Position Surface form Disambiguated ID Type / Status
Subject STS-131 E431592 entity
Predicate usedMPLM P4791 FINISHED
Object Leonardo 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: Leonardo | Statement: [STS-131, usedMPLM, Leonardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo
Context triple: [STS-131, usedMPLM, Leonardo]
  • A. Leonardo
    Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
  • B. Leonardo
    Leonardo is the katana-wielding, blue-masked leader of the Teenage Mutant Ninja Turtles in the popular comic, TV, and film franchise.
  • C. Leonardo
    "Leonardo" is a historical drama television series that explores the life, genius, and mysteries surrounding Renaissance artist and inventor Leonardo da Vinci.
  • D. Leonardo
    Leonardo is a masculine given name of Italian origin, historically borne by notable figures such as artists, scientists, and mathematicians.
  • E. Leonardo da Vinci
    Leonardo da Vinci was a Renaissance polymath renowned as a master painter, inventor, scientist, and engineer whose works and ideas profoundly influenced art and science.
  • 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: Leonardo
Target entity description: Leonardo is a Multi-Purpose Logistics Module (MPLM) built by the Italian Space Agency and used by NASA Space Shuttles to transfer cargo and supplies to and from the International Space Station.
  • A. Leonardo
    Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
  • B. Leonardo
    Leonardo is the katana-wielding, blue-masked leader of the Teenage Mutant Ninja Turtles in the popular comic, TV, and film franchise.
  • C. Leonardo
    "Leonardo" is a historical drama television series that explores the life, genius, and mysteries surrounding Renaissance artist and inventor Leonardo da Vinci.
  • D. Leonardo
    Leonardo is a masculine given name of Italian origin, historically borne by notable figures such as artists, scientists, and mathematicians.
  • E. Leonardo da Vinci
    Leonardo da Vinci was an Italian dreadnought battleship of the early 20th century that served in the Regia Marina during World War I.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedMPLM
Context triple: [STS-131, usedMPLM, Leonardo]
  • A. usedOn
    Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
  • B. usedWith chosen
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • C. usedVia
    Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
  • D. hasMP
    Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
  • E. plannedUseOf
    Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity involving another entity.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3cbe8c8190ba216eeebfc3cbec completed April 19, 2026, 11:36 a.m.
PD Predicate disambiguation batch_69e3f908da508190a088aa837ea5b7af completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:25 a.m.