Triple

T21900165
Position Surface form Disambiguated ID Type / Status
Subject Laris E540785 entity
Predicate associatedWith P37 FINISHED
Object Zhaban NE NERFINISHED

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: Zhaban | Statement: [Laris, associatedWith, Zhaban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhaban
Context triple: [Laris, associatedWith, Zhaban]
  • A. Zhaban chosen
    Zhaban is a Romulan character in the Star Trek universe, known as a former Tal Shiar operative who becomes a loyal ally and housemate of Jean-Luc Picard.
  • B. Zabana
    Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
  • C. Zhaanat
    Zhaanat is a wise and resilient Ojibwe elder and mother whose spiritual insight and quiet strength play a pivotal role in Louise Erdrich’s novel *The Night Watchman*.
  • D. Kaspichan
    Kaspichan is a small town in northeastern Bulgaria known as a local transport and administrative center within Shumen Province.
  • E. Koshur
    Koshur is an exonym commonly used in English to refer to the Kashmiri language and its speakers from the Kashmir region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fca2bf88190b2a5b912aa102513 completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:07 p.m.