Triple

T19421925
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Roosevelt Seagraves E485876 entity
Predicate familyName P18 FINISHED
Object Seagraves
Seagraves is a surname most notably associated with Eleanor Roosevelt Seagraves, a member of the Roosevelt family lineage.
 E1375883 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: Seagraves | Statement: [Eleanor Roosevelt Seagraves, familyName, Seagraves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seagraves
Context triple: [Eleanor Roosevelt Seagraves, familyName, Seagraves]
  • A. Peatross
    Peatross is a surname most notably associated with Oscar F. Peatross, a distinguished United States Marine Corps officer.
  • B. Snodgrass
    Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
  • C. Daughtrey
    Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
  • D. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • E. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • 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: Seagraves
Triple: [Eleanor Roosevelt Seagraves, familyName, Seagraves]
Generated description
Seagraves is a surname most notably associated with Eleanor Roosevelt Seagraves, a member of the Roosevelt family lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seagraves
Target entity description: Seagraves is a surname most notably associated with Eleanor Roosevelt Seagraves, a member of the Roosevelt family lineage.
  • A. Peatross
    Peatross is a surname most notably associated with Oscar F. Peatross, a distinguished United States Marine Corps officer.
  • B. Snodgrass
    Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
  • C. Daughtrey
    Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
  • D. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • E. O'Steen
    O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e632159d7081909d004544ec5992c0 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.