Triple

T20223155
Position Surface form Disambiguated ID Type / Status
Subject Ur-Hamlet E495309 entity
Predicate textualSurvival P139282 FINISHED
Object no known surviving manuscript 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: no known surviving manuscript | Statement: [Ur-Hamlet, textualSurvival, no known surviving manuscript]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: textualSurvival
Context triple: [Ur-Hamlet, textualSurvival, no known surviving manuscript]
  • A. survivorsJourney
    Indicates the ongoing process or path a survivor takes as they cope with, adapt to, and move forward from a traumatic or life-threatening experience.
  • B. survivingUse
    Indicates that one entity continues to make use of another entity or resource after an event that could have ended or invalidated that use.
  • C. helpsSurvive
    Indicates that one entity provides support or advantage that increases another entity’s chances of survival.
  • D. survivalStoryChronicledIn
    Indicates that an account of surviving a dangerous or life-threatening situation is documented or recorded within a particular medium or work.
  • E. textualContinuity
    Indicates that one text segment continues, follows, or is sequentially connected to another in the flow of discourse 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd729548190942bcf842f03c4cd completed April 20, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
PDg Predicate description generation batch_69e56700b1a08190ace53cf95827d72d completed April 19, 2026, 11:36 p.m.
Created at: April 11, 2026, 11:39 p.m.