Triple

T21555317
Position Surface form Disambiguated ID Type / Status
Subject Morning Has Broken E531875 entity
Predicate isWidelyKnownThrough P69963 FINISHED
Object Cat Stevens 1971 recording 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: Cat Stevens 1971 recording | Statement: [Morning Has Broken, isWidelyKnownThrough, Cat Stevens 1971 recording]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isWidelyKnownThrough
Context triple: [Morning Has Broken, isWidelyKnownThrough, Cat Stevens 1971 recording]
  • A. isWidelyKnown
    Indicates that something is generally recognized or familiar to a large number of people.
  • B. knownPrimarilyThrough chosen
    Indicates that one entity is chiefly recognized, identified, or made familiar to others by means of another entity (such as a work, role, medium, or context).
  • C. knownIn
    Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
  • D. oftenRecognizedBy
    Indicates that one entity is frequently identified, acknowledged, or noticed by another entity.
  • E. alsoKnownThrough
    Indicates that an entity is recognized or identified by means of another entity, such as a source, context, or intermediary, through which its alternative name or identity is known.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2df48c88190894b6b08a5cb6390 completed April 27, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69e6320766308190ba5dca2f7c826aa4 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:29 p.m.