Triple

T36864071
Position Surface form Disambiguated ID Type / Status
Subject Nelson Davis E911021 entity
Predicate freeTextDescription P11875 FINISHED
Object Nelson Davis was the second husband of abolitionist and Underground Railroad conductor Harriet Tubman, with whom he shared a long marriage after the Civil War.
Nelson Davis was an American Civil War veteran and laborer best known as the longtime second husband and companion of famed abolitionist Harriet Tubman in her later years.
E2203282 NE FINISHED

How this triple was built (3 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: Nelson Davis was the second husband of abolitionist and Underground Railroad conductor Harriet Tubman, with whom he shared a long marriage after the Civil War. | Statement: [Nelson Davis, freeTextDescription, Nelson Davis was the second husband of abolitionist and Underground Railroad conductor Harriet Tubman, with whom he shared a long marriage after the Civil War.]
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: Nelson Davis was the second husband of abolitionist and Underground Railroad conductor Harriet Tubman, with whom he shared a long marriage after the Civil War.
Triple: [Nelson Davis, freeTextDescription, Nelson Davis was the second husband of abolitionist and Underground Railroad conductor Harriet Tubman, with whom he shared a long marriage after the Civil War.]
Generated description
Nelson Davis was an American Civil War veteran and laborer best known as the longtime second husband and companion of famed abolitionist Harriet Tubman in her later years.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: freeTextDescription
Context triple: [Nelson Davis, freeTextDescription, Nelson Davis was the second husband of abolitionist and Underground Railroad conductor Harriet Tubman, with whom he shared a long marriage after the Civil War.]
  • A. describedThrough
    Indicates that something is explained, represented, or conveyed by means of a particular medium, method, or description.
  • B. hasDescription chosen
    Indicates that an entity is associated with a textual description that explains or characterizes it.
  • C. featuresText
    Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
  • D. definitionText
    Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or entity.
  • E. designDescription
    Indicates that an entity has a textual explanation or summary of its design, structure, or intended configuration.
  • F. None of above.

Provenance (6 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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfae204c08190a018b4d2bf0a7d3c completed June 26, 2026, 4:06 a.m.
NEDg Description generation batch_6a3e00adfc18819095a0c52aa7e20eaa completed June 26, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a3e0729bf6c81908d34c6c8b24571fc completed June 26, 2026, 4:59 a.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:13 p.m.