Triple

T19072975
Position Surface form Disambiguated ID Type / Status
Subject Black Box E466835 entity
Predicate hasCharacter P2308 FINISHED
Object Manfred 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: Manfred | Statement: [Black Box, hasCharacter, Manfred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manfred
Context triple: [Black Box, hasCharacter, Manfred]
  • A. Manfred chosen
    Manfred is a dramatic poem by Lord Byron that blends Gothic elements with philosophical introspection, centered on a tormented nobleman haunted by guilt and supernatural forces.
  • B. Lothar
    Lothar is a masculine given name of Germanic origin, historically borne by various European nobles, military figures, and notable individuals.
  • C. Reinhard
    Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Roderich
    Roderich is a Germanic given name, cognate with names like Roderic, typically associated with historical and noble European usage.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e1ce5881908367424c89d73feb completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.