Triple

T170716
Position Surface form Disambiguated ID Type / Status
Subject Mary Baker Eddy E3115 entity
Predicate marriedName P18 FINISHED
Object Eddy
Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
 E27753 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: Eddy | Statement: [Mary Baker Eddy, marriedName, Eddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eddy
Context triple: [Mary Baker Eddy, marriedName, Eddy]
  • A. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • B. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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: Eddy
Triple: [Mary Baker Eddy, marriedName, Eddy]
Generated description
Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eddy
Target entity description: Eddy is the married surname of Mary Baker Eddy, the American religious leader who founded Christian Science.
  • A. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • B. Yann
    Yann is the given name of Yann LeCun, a pioneering computer scientist known for his foundational work in deep learning and convolutional neural networks.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25bae79b48190abfd247410e5918f completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34418bb848190ac26adef7f990f93 completed Feb. 28, 2026, 7:38 p.m.
NEDg Description generation batch_69a34543689c8190ac8e25ffcf3b4fb3 completed Feb. 28, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69a345748c808190b0f8f2a00c3705e2 completed Feb. 28, 2026, 7:43 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.