Triple

T23245560
Position Surface form Disambiguated ID Type / Status
Subject On the Decalogue E581574 entity
Predicate mainSubject P3 FINISHED
Object Ten Commandments 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: Ten Commandments | Statement: [On the Decalogue, mainSubject, Ten Commandments]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ten Commandments
Context triple: [On the Decalogue, mainSubject, Ten Commandments]
  • A. Ten Commandments chosen
    The Ten Commandments are a foundational set of biblical moral principles that outline core duties toward God and other people in the Judeo-Christian tradition.
  • B. Ten Commandments
    "Ten Commandments" is an R&B song by American singer Lil' Mo.
  • C. Os Dez Mandamentos
    Os Dez Mandamentos is a Brazilian telenovela that dramatizes the biblical story of Moses and the liberation of the Hebrews from Egypt.
  • D. On the Ten Commandments
    On the Ten Commandments is a theological work that offers a detailed exposition and moral interpretation of the biblical Ten Commandments.
  • E. The Decalogue
    The Decalogue is a critically acclaimed Polish television drama series of ten films directed by Krzysztof Kieślowski, each loosely inspired by one of the Ten Commandments and exploring complex moral and ethical dilemmas.
  • 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f0f5d88190a497f14601f9bf29 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:10 p.m.