Triple

T319728
Position Surface form Disambiguated ID Type / Status
Subject Olivia Susan Clemens E7786 entity
Predicate middleName P143 FINISHED
Object Susan
Susan is the middle name of Olivia Susan Clemens.
 E52714 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 | Statement: [Olivia Susan Clemens, middleName, Susan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan
Context triple: [Olivia Susan Clemens, middleName, Susan]
  • A. Jennifer
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • B. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. Ann
    Ann is a given name commonly used as a feminine first or middle name in English-speaking countries.
  • E. Emma Savage Rogers
    Emma Savage Rogers was the wife of William Barton Rogers, the 19th-century American geologist and founder of the Massachusetts Institute of Technology.
  • 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
Triple: [Olivia Susan Clemens, middleName, Susan]
Generated description
Susan is the middle name of Olivia Susan Clemens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan
Target entity description: Susan is the middle name of Olivia Susan Clemens.
  • A. Jennifer
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • B. Sarah
    Sarah is a key matriarch in the Hebrew Bible, revered as the wife of Abraham and mother of Isaac in the Jewish, Christian, and Islamic traditions.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. Ann
    Ann is a given name commonly used as a feminine first or middle name in English-speaking countries.
  • E. Emma Savage Rogers
    Emma Savage Rogers was the wife of William Barton Rogers, the 19th-century American geologist and founder of the Massachusetts Institute of Technology.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea7edbc48190b9031bd1af48f72a completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4239d00048190a1d79b889c55d33a completed March 1, 2026, 11:31 a.m.
NEDg Description generation batch_69a42418a28c81909ee31dfb1819b87f completed March 1, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_69a42486e1e08190b7603c34d625da7c completed March 1, 2026, 11:35 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.