Triple

T20387349
Position Surface form Disambiguated ID Type / Status
Subject Spike Spiegel E497992 entity
Predicate ally P4662 FINISHED
Object Ein 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: Ein | Statement: [Spike Spiegel, ally, Ein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ein
Context triple: [Spike Spiegel, ally, Ein]
  • A. Ein chosen
    Ein is the highly intelligent "data dog" corgi who serves as a beloved comic-relief and mascot-like companion in the Cowboy Bebop universe.
  • B. Eine
    Eine is a small river in Saxony-Anhalt, Germany, that flows through the town of Aschersleben.
  • C. Ine
    Ine is a village and local community located on Arno Atoll in the Marshall Islands, known for its traditional Micronesian lifestyle and reliance on lagoon and ocean resources.
  • D. Ine
    Ine is a feminine given name of Japanese origin, sometimes used historically and in modern times.
  • E. Este
    Este is an ancient town in northern Italy notable as a key center of the Venetic civilization and culture.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.