Triple

T11830470
Position Surface form Disambiguated ID Type / Status
Subject the Black Knight (The Book of the Duchess) E281375 entity
Predicate revealsLoss P101718 FINISHED
Object gradually through conversation 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: gradually through conversation | Statement: [the Black Knight (The Book of the Duchess), revealsLoss, gradually through conversation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revealsLoss
Context triple: [the Black Knight (The Book of the Duchess), revealsLoss, gradually through conversation]
  • A. significantLoss
    Indicates that an entity has experienced a major or substantial decrease in value, quantity, or status beyond a normal or minor loss.
  • B. causedLossOf
    Indicates that one entity brought about or was responsible for another entity experiencing a loss.
  • C. revealedAfter
    Indicates that one piece of information, event, or state becomes known or disclosed only subsequent to another specified point in time or condition.
  • D. revealedBefore
    Indicates that one entity becomes known, disclosed, or made apparent earlier in time than another entity.
  • E. loserReceives
    Indicates that the entity who loses in a contest, game, or comparison is the one that receives a specified item, outcome, or consequence.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69d8a251fc08819095933f1d13c3b742 completed April 10, 2026, 7:10 a.m.
PDg Predicate description generation batch_69d8a43cc0c881909fed7cd759fe90b1 completed April 10, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:43 p.m.