Triple

T29032714
Position Surface form Disambiguated ID Type / Status
Subject Anthony Marston E737769 entity
Predicate victimsOfCrime P168124 FINISHED
Object John Combes
John Combes is a fictional character known primarily as one of the people killed by Anthony Marston in Agatha Christie's mystery novel "And Then There Were None."
E1845525 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: John Combes | Statement: [Anthony Marston, victimsOfCrime, John Combes]
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: John Combes
Triple: [Anthony Marston, victimsOfCrime, John Combes]
Generated description
John Combes is a fictional character known primarily as one of the people killed by Anthony Marston in Agatha Christie's mystery novel "And Then There Were None."
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: victimsOfCrime
Context triple: [Anthony Marston, victimsOfCrime, John Combes]
  • A. hasTypeOfVictims
    Indicates that an entity is associated with victims of a specified type or category.
  • B. coVictim
    Indicates that two or more entities are victims in the same harmful event or incident.
  • C. victimsGender
    Indicates that the relationship specifies the gender of the victims involved in an event or situation.
  • D. mainVictims
    Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
  • E. victimGroup
    Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
  • F. None of above. chosen

Provenance (7 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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f673633d288190b52ceb9f8a057c44 completed May 2, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505d780d88190a0ed521fd29d0883 completed June 7, 2026, 5:47 a.m.
NEDg Description generation batch_6a250aa86fc08190aaea94c6a6476a03 completed June 7, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_6a250eb93bc4819088c3b590253dc864 completed June 7, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69f66ec5bf508190ad088b89455252bd completed May 2, 2026, 9:38 p.m.
PDg Predicate description generation batch_69f67256d064819094be04fc1bbbc635 completed May 2, 2026, 9:53 p.m.
Created at: April 28, 2026, 9:56 a.m.