Triple

T10944704
Position Surface form Disambiguated ID Type / Status
Subject Edmund P. Gaines E258564 entity
Predicate familyName P18 FINISHED
Object Gaines
Gaines is a surname of English origin borne by various notable individuals across military, political, and cultural fields.
 E895566 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: Gaines | Statement: [Edmund P. Gaines, familyName, Gaines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gaines
Context triple: [Edmund P. Gaines, familyName, Gaines]
  • A. Burkley
    Burkley is a surname most notably associated with American character actor Dennis Burkley.
  • B. Greer
    Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
  • C. Greer
    Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
  • D. Overton
    Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
  • E. Jennings
    Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
  • 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: Gaines
Triple: [Edmund P. Gaines, familyName, Gaines]
Generated description
Gaines is a surname of English origin borne by various notable individuals across military, political, and cultural fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gaines
Target entity description: Gaines is a surname of English origin borne by various notable individuals across military, political, and cultural fields.
  • A. Burkley
    Burkley is a surname most notably associated with American character actor Dennis Burkley.
  • B. Greer
    Greer is a surname most notably associated with Hal Greer, a Hall of Fame American basketball player.
  • C. Greer
    Greer is a small city in South Carolina known for its historic downtown, proximity to both Greenville and Spartanburg, and its role as a regional industrial and transportation hub.
  • D. Overton
    Overton is a small unincorporated community in southeastern Nevada known as a gateway to the nearby Lake Mead National Recreation Area and the Valley of Fire State Park.
  • E. Jennings
    Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c2dea008190af68336a096b7f7c completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24542b4f081909c97621f04da8ecc completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e248f7f96481909fa6e6cd07891566 completed April 17, 2026, 2:51 p.m.
Created at: April 8, 2026, 9:23 p.m.