Triple

T14614140
Position Surface form Disambiguated ID Type / Status
Subject Liang E343037 entity
Predicate hasVariant P455 FINISHED
Object Neo unclear NED1 NE FINISHED

How this triple was built (2 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: [Liang, hasVariant, Neo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neo
Context triple: [Liang, hasVariant, Neo]
  • A. 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.
  • B. Nie
    Nie is the surname of Norman H. Nie, an American political scientist and co-creator of the SPSS statistical software package.
  • C. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • D. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • E. Nez
    Nez is a music video director known for directing Bruno Mars' hit video "The Lazy Song."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.