Triple

T10886981
Position Surface form Disambiguated ID Type / Status
Subject Neo Rauch E257073 entity
Predicate givenName P17 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 Rauch, givenName, Neo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neo
Context triple: [Neo Rauch, givenName, 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 town located in the Yavatmal district of Maharashtra, India, known primarily as a local agricultural and trading center.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751dea1a88190b916879be8d74413 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7edfee48190802e992f4a299db0 completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:21 p.m.