Triple

T4771409
Position Surface form Disambiguated ID Type / Status
Subject Chellie Pingree E105934 entity
Predicate givenName P17 FINISHED
Object Rochelle
Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
 E465989 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: Rochelle | Statement: [Chellie Pingree, givenName, Rochelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rochelle
Context triple: [Chellie Pingree, givenName, Rochelle]
  • A. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • B. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • C. Beverly
    Beverly is the birth name of Buffy Sainte-Marie, the Indigenous Canadian-American singer-songwriter, educator, and social activist.
  • D. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • E. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • 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: Rochelle
Triple: [Chellie Pingree, givenName, Rochelle]
Generated description
Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rochelle
Target entity description: Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • A. Laurel
    Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
  • B. Laurel
    Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
  • C. Beverly
    Beverly is the birth name of Buffy Sainte-Marie, the Indigenous Canadian-American singer-songwriter, educator, and social activist.
  • D. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • E. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655e5dcc8190a932be9b1baaffb2 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a94e340819080fe92a2024abdaf completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3b7d0e3c8190a4c4fabee0299908 completed March 21, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69be3c059b1c819084fa4c30e576fd2e completed March 21, 2026, 6:34 a.m.
Created at: March 20, 2026, 1:21 p.m.