Triple

T12299278
Position Surface form Disambiguated ID Type / Status
Subject Lai Mohammed E293174 entity
Predicate givenName P17 FINISHED
Object Lai E383149 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: Lai | Statement: [Lai Mohammed, givenName, Lai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lai
Context triple: [Lai Mohammed, givenName, Lai]
  • A. Lai
    The Lai are an indigenous ethnic group of the broader Mizo community, primarily inhabiting parts of northeast India and neighboring Myanmar, with their own distinct language and cultural traditions.
  • B. Lai chosen
    Lai is a variant spelling of the Chinese surname Li, commonly found in Chinese-speaking communities and their diasporas.
  • C. Lia
    Lia is a Japanese singer best known for performing iconic anime theme songs, including the opening of Angel Beats!.
  • D. Lari
    Lari is a town in Kenya’s Central Region, known for its agricultural activities and its location within Kiambu County.
  • E. Lari
    Lari is a regional dialect of the Sindhi language spoken primarily in parts of Sindh, Pakistan.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7b88d08190a195a294a7fbd168 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.