Triple

T3709979
Position Surface form Disambiguated ID Type / Status
Subject Fuller E80984 entity
Predicate hasNotableBearer P458 FINISHED
Object David Fuller (politician)
David Fuller is an American politician who served as a member of the Montana House of Representatives.
E381776 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: David Fuller (politician) | Statement: [Fuller, hasNotableBearer, David Fuller (politician)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Fuller (politician)
Context triple: [Fuller, hasNotableBearer, David Fuller (politician)]
  • A. Brian Fawcett
    Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
  • B. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • C. Ron Feemster
    Ron Feemster is a music producer known for his work on the album "Afrodisiac."
  • D. Harry Bright
    Harry Bright is one of the three possible fathers and central adult characters in the musical and film "Mamma Mia!", known for his reserved, uptight demeanor that contrasts with the story’s exuberant Greek-island setting.
  • E. Ward Greene
    Ward Greene was an American writer and editor best known for creating the story that inspired Disney’s animated film "Lady and the Tramp."
  • 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: David Fuller (politician)
Triple: [Fuller, hasNotableBearer, David Fuller (politician)]
Generated description
David Fuller is an American politician who served as a member of the Montana House of Representatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Fuller (politician)
Target entity description: David Fuller is an American politician who served as a member of the Montana House of Representatives.
  • A. Brian Fawcett
    Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
  • B. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • C. Ron Feemster
    Ron Feemster is a music producer known for his work on the album "Afrodisiac."
  • D. Harry Bright
    Harry Bright is one of the three possible fathers and central adult characters in the musical and film "Mamma Mia!", known for his reserved, uptight demeanor that contrasts with the story’s exuberant Greek-island setting.
  • E. Ward Greene
    Ward Greene was an American writer and editor best known for creating the story that inspired Disney’s animated film "Lady and the Tramp."
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc584b86c8190ba1a1073da440b07 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce052660819089ad899a20b8a720 completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4cf85b968819085dad34a80767984 completed March 14, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_69b4cfecf2bc8190afb3bd8ebfd3cc64 completed March 14, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:33 p.m.