Triple

T3208921
Position Surface form Disambiguated ID Type / Status
Subject Gene Nelson E67231 entity
Predicate familyName P18 FINISHED
Object Berg E287565 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: Berg | Statement: [Gene Nelson, familyName, Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berg
Context triple: [Gene Nelson, familyName, Berg]
  • A. Berg chosen
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • D. Gora
    Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
  • E. Alsberg
    Alsberg is a surname of Germanic origin borne by various notable individuals, including American writer and theater director Henry Alsberg.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa59888481908bdaefa1968d7f04 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262278ea48190a2664bda9af1632a completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.