Triple

T34124049
Position Surface form Disambiguated ID Type / Status
Subject Richard Neal E875224 entity
Predicate precededByAsU.S.RepresentativeForMA-01 P151140 FINISHED
Object John Olver
John Olver was a long-serving Democratic congressman from Massachusetts known for his work on transportation, environmental, and budget issues.
 E2083364 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: John Olver | Statement: [Richard Neal, precededByAsU.S.RepresentativeForMA-01, John Olver]
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: John Olver
Triple: [Richard Neal, precededByAsU.S.RepresentativeForMA-01, John Olver]
Generated description
John Olver was a long-serving Democratic congressman from Massachusetts known for his work on transportation, environmental, and budget issues.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: precededByAsU.S.RepresentativeForMA-01
Context triple: [Richard Neal, precededByAsU.S.RepresentativeForMA-01, John Olver]
  • A. precededByAsUSRepresentative chosen
    Indicates that one individual previously served as a U.S. Representative before being succeeded in that role by another individual.
  • B. precededBy (Governor of Maine)
    Indicates that one entity held the position of Governor of Maine before another entity.
  • C. precededBy (Governor of Vermont)
    Indicates that one holder of the office of Governor of Vermont served in that position before another specified holder.
  • D. precededByAsMayorOfBoston
    Indicates that one individual previously served as Mayor of Boston immediately before another individual.
  • E. precededByAsChairOfWaysAndMeans
    Indicates that one entity previously served as chair of the Ways and Means Committee before another entity.
  • 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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd389cb28c819099a77e28d25f258a completed May 8, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1c312e48190bef308aaa947f91c completed June 20, 2026, 4:37 p.m.
NEDg Description generation batch_6a36c28d63e08190a64e0b9673d04d13 completed June 20, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a36c316c9b88190ad0cd60399dfad4b completed June 20, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69fd3826d8048190ada79a5868d1d7f3 completed May 8, 2026, 1:11 a.m.
Created at: May 1, 2026, 1:53 a.m.