Triple

T30492943
Position Surface form Disambiguated ID Type / Status
Subject The Adventure of the Devil’s Foot E775918 entity
Predicate hasVictimCharacter P170970 FINISHED
Object Brenda Tregennis
Brenda Tregennis is a fictional murder victim in Arthur Conan Doyle’s Sherlock Holmes story "The Adventure of the Devil’s Foot."
 E1918264 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: Brenda Tregennis | Statement: [The Adventure of the Devil’s Foot, hasVictimCharacter, Brenda Tregennis]
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: Brenda Tregennis
Triple: [The Adventure of the Devil’s Foot, hasVictimCharacter, Brenda Tregennis]
Generated description
Brenda Tregennis is a fictional murder victim in Arthur Conan Doyle’s Sherlock Holmes story "The Adventure of the Devil’s Foot."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasVictimCharacter
Context triple: [The Adventure of the Devil’s Foot, hasVictimCharacter, Brenda Tregennis]
  • A. hasMurderVictimCharacter
    Indicates that an entity (such as a work of fiction or event) includes or involves a character who is the victim of a murder.
  • B. hasVictimCount
    Indicates the number of victims associated with a particular event, action, or entity.
  • C. hasMainVictim
    Indicates that an event, action, or harmful situation primarily targets or affects a specific victim as its main subject.
  • D. hasVictimRoleWith chosen
    Indicates a relationship in which one entity occupies or is assigned the role of victim in relation to another entity or event.
  • E. hasVictimPattern
    Indicates a recurring or characteristic pattern in the selection, treatment, or circumstances of victims associated with an action or event.
  • 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_69f22498c5d481908aaea89e6fab8280 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7b0e5744c8190a22c1e1d6fcfa466 completed May 3, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27ac2ea8b08190a0acf2657525c301 completed June 9, 2026, 6:01 a.m.
NEDg Description generation batch_6a27acef0d7481908899cea092a71c89 completed June 9, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a27b605cb7081908d5e7d9110812466 completed June 9, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69f7ab70d034819080295628497d8582 completed May 3, 2026, 8:09 p.m.
Created at: April 29, 2026, 8:14 p.m.