Triple

T7461446
Position Surface form Disambiguated ID Type / Status
Subject Congressional Oversight Panel E176257 entity
Predicate hasMember P10 FINISHED
Object Damon Silvers
Damon Silvers is an American labor lawyer and policy advocate known for his leadership roles at the AFL-CIO and his service on federal financial oversight bodies.
E666590 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: Damon Silvers | Statement: [Congressional Oversight Panel, hasMember, Damon Silvers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damon Silvers
Context triple: [Congressional Oversight Panel, hasMember, Damon Silvers]
  • A. Nicholas Grodin
    Nicholas Grodin is the son of the late American actor and comedian Charles Grodin.
  • B. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • C. Damon Salesa
    Damon Salesa is a New Zealand historian and academic leader known for his work on Pacific studies and for serving as vice-chancellor of Auckland University of Technology.
  • D. Michael Silvers
    Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
  • E. Frank Nicotero
    Frank Nicotero is an American comedian and television host known for his work on game shows and stand-up comedy.
  • 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: Damon Silvers
Triple: [Congressional Oversight Panel, hasMember, Damon Silvers]
Generated description
Damon Silvers is an American labor lawyer and policy advocate known for his leadership roles at the AFL-CIO and his service on federal financial oversight bodies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Damon Silvers
Target entity description: Damon Silvers is an American labor lawyer and policy advocate known for his leadership roles at the AFL-CIO and his service on federal financial oversight bodies.
  • A. Nicholas Grodin
    Nicholas Grodin is the son of the late American actor and comedian Charles Grodin.
  • B. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • C. Damon Salesa
    Damon Salesa is a New Zealand historian and academic leader known for his work on Pacific studies and for serving as vice-chancellor of Auckland University of Technology.
  • D. Michael Silvers
    Michael Silvers is a sound designer known for his work on Pixar’s animated short film "The Blue Umbrella."
  • E. Frank Nicotero
    Frank Nicotero is an American comedian and television host known for his work on game shows and stand-up comedy.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d6cf8c8190a31cac121d151d78 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8345f629c8190889081e18bdfe6f7 completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c835279b108190b32415c2e3d92c6d completed March 28, 2026, 8:08 p.m.
NED2 Entity disambiguation (via description) batch_69c835d2474081908ec1e93c1ced0b1f completed March 28, 2026, 8:10 p.m.
Created at: March 27, 2026, 3:38 p.m.