Triple

T11778301
Position Surface form Disambiguated ID Type / Status
Subject Invader Zim E280073 entity
Predicate protagonist P268 FINISHED
Object Zim E946125 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: Zim | Statement: [Invader Zim, protagonist, Zim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zim
Context triple: [Invader Zim, protagonist, Zim]
  • A. Zim chosen
    Zim is the overzealous and inept alien invader protagonist of the animated television series "Invader Zim."
  • B. ZIM
    ZIM is the official International Cricket Council country code used to represent the Zimbabwe national cricket team in international cricket.
  • C. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • D. Zinza
    The Zinza are an ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania, known for their Bantu language and fishing and farming traditions.
  • E. Ziza
    Ziza is a lesser-known biblical figure mentioned in the Hebrew Bible as one of the descendants in the royal line of King Rehoboam of Judah.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a560bf548190afab3ad14f953a71 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130cb31f48190a9357cce47a7b192 completed April 28, 2026, 10:12 p.m.
Created at: April 8, 2026, 9:42 p.m.