Triple

T23964652
Position Surface form Disambiguated ID Type / Status
Subject Iron Sharpen Iron E604031 entity
Predicate titlePhraseDerivedFrom P12689 FINISHED
Object biblical proverb "iron sharpeneth iron" 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: biblical proverb "iron sharpeneth iron" | Statement: [Iron Sharpen Iron, titlePhraseDerivedFrom, biblical proverb "iron sharpeneth iron"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: titlePhraseDerivedFrom
Context triple: [Iron Sharpen Iron, titlePhraseDerivedFrom, biblical proverb "iron sharpeneth iron"]
  • A. titleDerivedFrom chosen
    Indicates that the title of one entity is obtained or adapted from another entity.
  • B. titlePhrase
    Indicates that one entity is a phrase functioning as the title or name of another entity.
  • C. titleThrough
    Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or context.
  • D. titlePattern
    Indicates that there is a specific structural or textual pattern that the title of an entity is expected to follow.
  • E. titleBasis
    Indicates that one entity serves as the basis or source material for the title or name of another entity.
  • 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_69e29543019c8190872462e593cc50b4 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d1d7077881909d4774b7040cd722 completed April 29, 2026, 9:39 a.m.
PD Predicate disambiguation batch_69f161578d54819084a8b35496299993 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 9:24 p.m.