Triple

T546066
Position Surface form Disambiguated ID Type / Status
Subject Mendele Mocher Sforim E12734 entity
Predicate literaryRole P15535 FINISHED
Object bridge between Haskalah literature and modern Yiddish fiction — LITERAL 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: bridge between Haskalah literature and modern Yiddish fiction | Statement: [Mendele Mocher Sforim, literaryRole, bridge between Haskalah literature and modern Yiddish fiction]
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: literaryRole
Context triple: [Mendele Mocher Sforim, literaryRole, bridge between Haskalah literature and modern Yiddish fiction]
  • A. roleInText
    Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
  • B. dramaticRole
    Indicates that one entity serves as a character or part played by another entity within a dramatic or theatrical work.
  • C. hasMetafictionalRole
    Indicates that an entity plays a role within a story that self-consciously comments on, references, or breaks the conventions of fiction itself.
  • D. character1
    Indicates that the subject is identified as the first or primary character in a narrative or context.
  • E. characterIn
    Indicates that an entity appears as a character within a specified work, story, or narrative.
  • F. None of above. chosen

Provenance (4 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498e150e88190b35b1bc7a376ca07 completed March 1, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69a494b957988190bc269e372df2f0b2 completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a49858abd48190bd4b002a93e4a908 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.