Triple

T16398055
Position Surface form Disambiguated ID Type / Status
Subject ERC Ingolstadt E398233 entity
Predicate hasNickname P39 FINISHED
Object Panther E271691 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: Panther | Statement: [ERC Ingolstadt, hasNickname, Panther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panther
Context triple: [ERC Ingolstadt, hasNickname, Panther]
  • A. Panther
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • B. Panther chosen
    Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
  • C. Panther
    Panther is the codename for Mac OS X 10.3, a major early-2000s release of Apple’s Mac operating system known for performance improvements and new user interface features.
  • D. Tig
    Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
  • E. Tig
    Tig is a deity in Germanic mythology cognate with the Norse god Týr, associated with war, law, and heroic honor.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.