Triple

T12807991
Position Surface form Disambiguated ID Type / Status
Subject Phil Goff E306193 entity
Predicate spouse P13 FINISHED
Object Mary Goff
Mary Goff is the wife of philosopher Phil Goff, known for his work on consciousness and panpsychism.
E1109077 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: Mary Goff | Statement: [Phil Goff, spouse, Mary Goff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Goff
Context triple: [Phil Goff, spouse, Mary Goff]
  • A. Mary Elizabeth Gaud
    Mary Elizabeth Gaud is known as the wife of William Gaud, a prominent American lawyer and World Bank official.
  • B. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • C. Mary Fagan
    Mary Fagan is a person notable enough to be specifically cited as a bearer of the surname Fagan.
  • D. Mary Easty
    Mary Easty was a respected Salem, Massachusetts woman who was falsely accused of witchcraft and executed during the 1692 Salem witch trials, later remembered for her dignified plea for justice.
  • E. Sylvia Fowler
    Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
  • 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: Mary Goff
Triple: [Phil Goff, spouse, Mary Goff]
Generated description
Mary Goff is the wife of philosopher Phil Goff, known for his work on consciousness and panpsychism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Goff
Target entity description: Mary Goff is the wife of philosopher Phil Goff, known for his work on consciousness and panpsychism.
  • A. Mary Elizabeth Gaud
    Mary Elizabeth Gaud is known as the wife of William Gaud, a prominent American lawyer and World Bank official.
  • B. Mary Scudder
    Mary Scudder is the pious, dutiful young heroine of Harriet Beecher Stowe’s novel "The Minister’s Wooing," whose moral integrity and emotional struggles drive much of the story’s drama.
  • C. Mary Fagan
    Mary Fagan is a person notable enough to be specifically cited as a bearer of the surname Fagan.
  • D. Mary Easty
    Mary Easty was a respected Salem, Massachusetts woman who was falsely accused of witchcraft and executed during the 1692 Salem witch trials, later remembered for her dignified plea for justice.
  • E. Sylvia Fowler
    Sylvia Fowler is a scheming, sharp-tongued Manhattan socialite and chief instigator of gossip in the classic 1939 film "The Women."
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd9495b9748190905b02621939b326 completed May 8, 2026, 7:45 a.m.
NEDg Description generation batch_69fd9619f33881908e8d95ef09256d34 completed May 8, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69fd96e97ec48190aae9b25ce7154802 completed May 8, 2026, 7:55 a.m.
Created at: April 9, 2026, 5:31 p.m.