Triple

T9716350
Position Surface form Disambiguated ID Type / Status
Subject Hungerford massacre E235152 entity
Predicate notableVictim P870 FINISHED
Object Susan Godfrey
Susan Godfrey was a young mother who became one of the most widely remembered victims of the 1987 Hungerford massacre in Berkshire, England.
 E849381 NE FINISHED

How this triple was built (4 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: Susan Godfrey | Statement: [Hungerford massacre, notableVictim, Susan Godfrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan Godfrey
Context triple: [Hungerford massacre, notableVictim, Susan Godfrey]
  • A. Ruth Cosgrove
    Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
  • B. Susan Holbrook
    Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
  • C. Susan Wakley
    Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
  • D. Susan Dougan
    Susan Dougan is a Vincentian public figure who serves as the Governor-General and de facto representative of the British monarch in Saint Vincent and the Grenadines.
  • E. Susan Fleetwood
    Susan Fleetwood was a British actress known for her extensive work in classical theatre and film, including notable roles with the Royal Shakespeare Company and in various British television dramas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Susan Godfrey
Triple: [Hungerford massacre, notableVictim, Susan Godfrey]
Generated description
Susan Godfrey was a young mother who became one of the most widely remembered victims of the 1987 Hungerford massacre in Berkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan Godfrey
Target entity description: Susan Godfrey was a young mother who became one of the most widely remembered victims of the 1987 Hungerford massacre in Berkshire, England.
  • A. Ruth Cosgrove
    Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
  • B. Susan Holbrook
    Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
  • C. Susan Wakley
    Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
  • D. Susan Dougan
    Susan Dougan is a Vincentian public figure who serves as the Governor-General and de facto representative of the British monarch in Saint Vincent and the Grenadines.
  • E. Susan Fleetwood
    Susan Fleetwood was a British actress known for her extensive work in classical theatre and film, including notable roles with the Royal Shakespeare Company and in various British television dramas.
  • F. None of above. chosen

Provenance (5 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0bb82081908e21a646f4de1a61 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6525a4af08190bcd8455e95a2f3ae completed April 8, 2026, 1:04 p.m.
NEDg Description generation batch_69d65348c988819083f4c8008a1f8cf7 completed April 8, 2026, 1:08 p.m.
NED2 Entity disambiguation (via description) batch_69d654b44070819098e1148e9dbd8a11 completed April 8, 2026, 1:14 p.m.
Created at: March 30, 2026, 8:20 p.m.