Triple

T15165367
Position Surface form Disambiguated ID Type / Status
Subject 1000 Days E362325 entity
Predicate follows P134 FINISHED
Object Golem E362324 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: Golem | Statement: [1000 Days, follows, Golem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golem
Context triple: [1000 Days, follows, Golem]
  • A. Golem chosen
    Golem is a classic 1915 science fiction novel by Polish writer Gustav Meyrink that reimagines the Jewish legend of a mystical clay creature brought to life in the Prague ghetto.
  • B. Schmendiman
    Schmendiman is a comically overconfident, dim-witted inventor in Steve Martin’s play "Picasso at the Lapin Agile," representing misguided modern ambition.
  • C. Zemgor
    Zemgor was a major Russian émigré relief and aid organization formed after the 1917 Revolution to support refugees, intellectuals, and former officials abroad.
  • D. Golem Grad
    Golem Grad is an uninhabited island in Lake Prespa, known for its rich biodiversity, archaeological remains, and status as a protected natural reserve in North Macedonia.
  • E. The Monster
    The Monster is a short story featured in Stephen Crane's collection "The Monster and Other Stories," exploring themes of ostracism, morality, and social hypocrisy.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064c6244819085daf8e1eafdf3f2 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec885d68c8190999529b69bc34fec completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.