Triple

T2826714
Position Surface form Disambiguated ID Type / Status
Subject Hu Zongnan E54940 entity
Predicate familyName P18 FINISHED
Object Hu E206049 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: Hu | Statement: [Hu Zongnan, familyName, Hu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hu
Context triple: [Hu Zongnan, familyName, Hu]
  • A. Hu chosen
    Hu is a common Chinese surname borne by many notable figures, including former Chinese president Hu Jintao.
  • B. HU
    HU is the postcode area covering Kingston upon Hull and its surrounding region in the United Kingdom.
  • C. Ho
    Ho are an indigenous Adivasi community of eastern India, primarily inhabiting parts of Jharkhand and Odisha, known for their Austroasiatic Ho language and distinct cultural traditions.
  • D. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • E. Hel
    Hel is a town and popular seaside resort located at the tip of the Hel Peninsula on Poland’s Baltic coast.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde94ba848190b2c990936e07e6bb completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb20c508190ba87e102ba250a00 completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.