Triple

T1747765
Position Surface form Disambiguated ID Type / Status
Subject The Matrix E38373 entity
Predicate mainCharacter P1183 FINISHED
Object Neo
Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
 E195723 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: Neo | Statement: [The Matrix, mainCharacter, Neo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neo
Context triple: [The Matrix, mainCharacter, Neo]
  • A. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • B. Neil
    Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
  • C. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • D. Neill
    Neill is a surname and given name of Gaelic origin, commonly found in Ireland and Scotland and borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • 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: Neo
Triple: [The Matrix, mainCharacter, Neo]
Generated description
Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neo
Target entity description: Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • A. Nova
    Nova is the name given to TransPennine Express’s modern fleet of intercity trains used across its key routes in the North of England and Scotland.
  • B. Neil
    Neil is the given name of Neil deGrasse Tyson, a prominent American astrophysicist, author, and science communicator.
  • C. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • D. Neill
    Neill is a surname and given name of Gaelic origin, commonly found in Ireland and Scotland and borne by various notable individuals across fields such as politics, sports, and the arts.
  • E. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e058948190939e936af8f0e221 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2122481909c7a3470e090af17 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada23515d08190833ad1a35bb7a265 completed March 8, 2026, 4:22 p.m.
Created at: March 4, 2026, 7:31 p.m.