Triple

T25800178
Position Surface form Disambiguated ID Type / Status
Subject Vivian Ludley E649801 entity
Predicate significantRelationshipImpactOn P119483 FINISHED
Object Charles Boyle
Charles Boyle is a quirky, earnest, and food-obsessed detective from the television series "Brooklyn Nine-Nine," known for his unwavering loyalty and awkward romantic life.
E136123 NE FINISHED

How this triple was built (3 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: Charles Boyle | Statement: [Vivian Ludley, significantRelationshipImpactOn, Charles Boyle]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Charles Boyle
Triple: [Vivian Ludley, significantRelationshipImpactOn, Charles Boyle]
Generated description
Charles Boyle is a quirky, earnest, and food-obsessed detective from the television series "Brooklyn Nine-Nine," known for his unwavering loyalty and awkward romantic life.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantRelationshipImpactOn
Context triple: [Vivian Ludley, significantRelationshipImpactOn, Charles Boyle]
  • A. relationshipImpact chosen
    Indicates how one entity’s relationship with another affects or changes those entities or their interaction.
  • B. effectOnMaritalRelations
    Indicates how an action, event, or condition influences the quality, stability, or dynamics of marital relationships between partners.
  • C. significantSince
    Indicates that a relationship, condition, or status has held particular importance or relevance starting from a specified point in time.
  • D. significantAfter
    Indicates that one event or state occurs after another in a way that is temporally meaningful or non-trivially later, not just immediately or insignificantly afterward.
  • E. majorRelationship
    Indicates a primary or most significant relationship between entities, typically denoting a dominant, central, or most influential connection among possible relationships.
  • F. None of above.

Provenance (6 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_69e7ab34f8c8819099f6c4dabdabf129 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a111af197f48190924ab9b9130d8dee completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111c6d51308190a083d3a650e57c94 completed May 23, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a111dca95888190bbe8b18c7603a5ba completed May 23, 2026, 3:23 a.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 22, 2026, 6:37 a.m.