Triple

T25814247
Position Surface form Disambiguated ID Type / Status
Subject As-Sami‘ E650204 entity
Predicate pairedWithMeaning P159298 FINISHED
Object The All-Hearing and the All-Seeing 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: The All-Hearing and the All-Seeing | Statement: [As-Sami‘, pairedWithMeaning, The All-Hearing and the All-Seeing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pairedWithMeaning
Context triple: [As-Sami‘, pairedWithMeaning, The All-Hearing and the All-Seeing]
  • A. pairedWithIdiomatically
    Indicates that one entity is commonly or conventionally paired with another in idiomatic usage or expression.
  • B. pairedThematicallyWith
    Indicates a relationship where two entities are intentionally associated because they share a common theme, concept, or motif.
  • C. pairedWithFunctionally
    Indicates that one entity is functionally matched or coupled with another to perform a complementary or corresponding role.
  • D. pairedSingleWith
    Indicates that one entity is matched or associated as a single counterpart with another single entity, typically forming an exclusive one-to-one pairing.
  • E. commonPair
    Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
  • 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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c84ac4819091492e52a5a8b873 completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
PDg Predicate description generation batch_69f497b8abb88190bb672cf6907c4b8d completed May 1, 2026, 12:08 p.m.
Created at: April 22, 2026, 7:12 a.m.