Triple

T22198588
Position Surface form Disambiguated ID Type / Status
Subject Lion of the Covenant E548612 entity
Predicate appliedToNotableFor P34707 FINISHED
Object fearless opposition to royal religious policies 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: fearless opposition to royal religious policies | Statement: [Lion of the Covenant, appliedToNotableFor, fearless opposition to royal religious policies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliedToNotableFor
Context triple: [Lion of the Covenant, appliedToNotableFor, fearless opposition to royal religious policies]
  • A. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • B. notableDuring
    Indicates that something was especially prominent, active, or significant during a particular time period or event.
  • C. isNotable
    Indicates that an entity is recognized as significant, prominent, or worthy of attention within a particular context or domain.
  • D. subjectNotableFor chosen
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • E. notableDisplay
    Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae98808819081582a57bca6312b completed April 28, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:36 p.m.