Triple

T8051111
Position Surface form Disambiguated ID Type / Status
Subject Sturgeon E187674 entity
Predicate hasNotableBearer P458 FINISHED
Object Daniel Sturgeon
Daniel Sturgeon was a 19th-century American politician who served as a U.S. Senator from Pennsylvania.
 E706588 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: Daniel Sturgeon | Statement: [Sturgeon, hasNotableBearer, Daniel Sturgeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel Sturgeon
Context triple: [Sturgeon, hasNotableBearer, Daniel Sturgeon]
  • A. David Furnish
    David Furnish is a Canadian filmmaker and former advertising executive best known as the longtime partner and husband of musician Elton John.
  • B. Marc Molinaro
    Marc Molinaro is an American Republican politician from New York who has served in various local and state offices, including as Dutchess County Executive and later as a member of the U.S. House of Representatives.
  • C. Brian Moynahan
    Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
  • D. Dan McGinty
    Dan McGinty is the opportunistic drifter-turned-corrupt politician at the center of Preston Sturges’s 1940 political satire film "The Great McGinty."
  • E. William Pugh
    William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
  • 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: Daniel Sturgeon
Triple: [Sturgeon, hasNotableBearer, Daniel Sturgeon]
Generated description
Daniel Sturgeon was a 19th-century American politician who served as a U.S. Senator from Pennsylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel Sturgeon
Target entity description: Daniel Sturgeon was a 19th-century American politician who served as a U.S. Senator from Pennsylvania.
  • A. David Furnish
    David Furnish is a Canadian filmmaker and former advertising executive best known as the longtime partner and husband of musician Elton John.
  • B. Marc Molinaro
    Marc Molinaro is an American Republican politician from New York who has served in various local and state offices, including as Dutchess County Executive and later as a member of the U.S. House of Representatives.
  • C. Brian Moynahan
    Brian Moynahan is a British journalist, historian, and author known for his works on Russian and European history.
  • D. Dan McGinty
    Dan McGinty is the opportunistic drifter-turned-corrupt politician at the center of Preston Sturges’s 1940 political satire film "The Great McGinty."
  • E. William Pugh
    William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f799d1481909c91039941af0e34 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc571b737881909ae8eadcc7894223 completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58ae255c8190a6a2d2f335c6cc3f completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5ccee5648190a8ebdf8029eded98 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:24 p.m.