Triple

T19613177
Position Surface form Disambiguated ID Type / Status
Subject Lucy Henry Spelman E470784 entity
Predicate familyName P18 FINISHED
Object Spelman
Spelman is a surname of English origin borne by various notable individuals across different fields.
E1387881 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: Spelman | Statement: [Lucy Henry Spelman, familyName, Spelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spelman
Context triple: [Lucy Henry Spelman, familyName, Spelman]
  • A. Spelman College
    Spelman College is a prestigious private historically Black liberal arts college for women located in Atlanta, Georgia.
  • B. Bennett College
    Bennett College is a private, historically Black liberal arts college for women located in Greensboro, North Carolina.
  • C. Morehouse College
    Morehouse College is a historically Black, all-male liberal arts college in Atlanta, Georgia, renowned for producing prominent African American leaders including Martin Luther King Jr.
  • D. Morehouse
    Morehouse is a small community located within Hamilton County in the state of New York.
  • E. Bethune College
    Bethune College is a historic women's college in Kolkata, India, recognized as one of the first institutions of higher education for women in Asia.
  • 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: Spelman
Triple: [Lucy Henry Spelman, familyName, Spelman]
Generated description
Spelman is a surname of English origin borne by various notable individuals across different fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Spelman
Target entity description: Spelman is a surname of English origin borne by various notable individuals across different fields.
  • A. Spelman College
    Spelman College is a prestigious private historically Black liberal arts college for women located in Atlanta, Georgia.
  • B. Bennett College
    Bennett College is a private, historically Black liberal arts college for women located in Greensboro, North Carolina.
  • C. Morehouse College
    Morehouse College is a historically Black, all-male liberal arts college in Atlanta, Georgia, renowned for producing prominent African American leaders including Martin Luther King Jr.
  • D. Morehouse
    Morehouse is a small community located within Hamilton County in the state of New York.
  • E. Bethune College
    Bethune College is a historic women's college in Kolkata, India, recognized as one of the first institutions of higher education for women in Asia.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640cd5de48190a9f7bab4da3f5b5a completed April 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077edc7028819097379146c15d9e64 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077f87d96c8190a8d9ee82e84be1f2 completed May 15, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_6a07816f54408190b6458ed0d17f9b60 completed May 15, 2026, 8:26 p.m.
Created at: April 10, 2026, 1:43 p.m.