Triple

T1752459
Position Surface form Disambiguated ID Type / Status
Subject Conway E38473 entity
Predicate hasNotableBearer P458 FINISHED
Object Chris Conway (politician)
Chris Conway is a Northern Irish politician known for his involvement in regional governance and public service.
E196574 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: Chris Conway (politician) | Statement: [Conway, hasNotableBearer, Chris Conway (politician)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Conway (politician)
Context triple: [Conway, hasNotableBearer, Chris Conway (politician)]
  • A. Scott Conrad
    Scott Conrad is a film editor best known for his Academy Award-winning work on the boxing drama "Rocky."
  • B. Gerry Connolly
    Gerry Connolly is a Democratic U.S. Congressman from Northern Virginia known for his work on government oversight, federal workforce issues, and foreign affairs.
  • C. John W. Considine Jr.
    John W. Considine Jr. was an American film producer active during Hollywood’s early studio era, known for overseeing a range of feature productions.
  • D. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • E. Chub Feeney
    Chub Feeney was a longtime Major League Baseball executive who served as president of the National League from 1970 to 1986.
  • 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: Chris Conway (politician)
Triple: [Conway, hasNotableBearer, Chris Conway (politician)]
Generated description
Chris Conway is a Northern Irish politician known for his involvement in regional governance and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Conway (politician)
Target entity description: Chris Conway is a Northern Irish politician known for his involvement in regional governance and public service.
  • A. Scott Conrad
    Scott Conrad is a film editor best known for his Academy Award-winning work on the boxing drama "Rocky."
  • B. Gerry Connolly
    Gerry Connolly is a Democratic U.S. Congressman from Northern Virginia known for his work on government oversight, federal workforce issues, and foreign affairs.
  • C. John W. Considine Jr.
    John W. Considine Jr. was an American film producer active during Hollywood’s early studio era, known for overseeing a range of feature productions.
  • D. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • E. Chub Feeney
    Chub Feeney was a longtime Major League Baseball executive who served as president of the National League from 1970 to 1986.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e625c48190a0fbda31010bdc5f completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1e13d408190b393c00c331125a2 completed March 8, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69ada292a34c8190a566c2909342ab27 completed March 8, 2026, 4:23 p.m.
Created at: March 4, 2026, 7:31 p.m.