Triple

T690087
Position Surface form Disambiguated ID Type / Status
Subject Robert Ross E13372 entity
Predicate familyName P18 FINISHED
Object Ross
Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
 E87043 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: Ross | Statement: [Robert Ross, familyName, Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ross
Context triple: [Robert Ross, familyName, Ross]
  • A. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • B. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • C. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • 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: Ross
Triple: [Robert Ross, familyName, Ross]
Generated description
Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ross
Target entity description: Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • A. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • B. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • C. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a637514c9081909938d0801f071fea completed March 3, 2026, 1:20 a.m.
NEDg Description generation batch_69a63b69c1788190b9bc613d04d7d5b0 completed March 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69a63bc5a9808190b881ebd85d3d6ee8 completed March 3, 2026, 1:39 a.m.
Created at: March 1, 2026, 7:36 p.m.