Triple

T8520603
Position Surface form Disambiguated ID Type / Status
Subject Franz Liszt E201683 entity
Predicate tookReligiousOrders P27505 FINISHED
Object 1865 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: 1865 | Statement: [Franz Liszt, tookReligiousOrders, 1865]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tookReligiousOrders
Context triple: [Franz Liszt, tookReligiousOrders, 1865]
  • A. tookReligiousVows
    Indicates that an entity formally committed to a religious life by taking recognized vows within a religious tradition.
  • B. tookReligiousVowsOn chosen
    Indicates that an entity formally committed to religious vows on a specific date or occasion.
  • C. inspiredReligiousOrder
    Indicates that one entity motivated, influenced, or served as a model for the founding or development of a particular religious order.
  • D. approvedReligiousOrder
    Indicates that an authority has formally recognized and authorized a particular religious order.
  • E. religiousOrderAssociation
    Indicates that an entity is formally connected to, affiliated with, or a member of a particular religious order.
  • F. None of above.

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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe628f8c48190a35201f9fde605cc completed March 31, 2026, 3:20 p.m.
PD Predicate disambiguation batch_69cbd10f64b4819080859057c19e58f0 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:16 p.m.