Triple

T9967561
Position Surface form Disambiguated ID Type / Status
Subject Neo E195723 entity
Predicate alias P39 FINISHED
Object Neo E195723 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: [Neo, alias, Neo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neo
Context triple: [Neo, alias, Neo]
  • A. Neo chosen
    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. Ner
    Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71f9d7c8190ac02c53052c1c6ad completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23db701b881909bb986a32df4349b completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:47 p.m.