Triple

T2861005
Position Surface form Disambiguated ID Type / Status
Subject Francis Parkman E63320 entity
Predicate givenName P17 FINISHED
Object Francis
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and historically associated with figures such as saints, writers, and leaders.
E293255 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: Francis | Statement: [Francis Parkman, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Francis Parkman, givenName, Francis]
  • A. Francis
    Francis is the papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
  • B. Francis
    Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
  • C. Francis
    Francis is the middle name of Victoria Lawford, a member of the extended Kennedy family.
  • D. Francis
    Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • E. Francis
    Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
  • 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: Francis
Triple: [Francis Parkman, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and historically associated with figures such as saints, writers, and leaders.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and historically associated with figures such as saints, writers, and leaders.
  • A. Francis chosen
    Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and associated with figures such as Saint Francis of Assisi and numerous historical and contemporary personalities.
  • B. Francis
    Francis is the papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
  • C. Francis
    Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • D. Francis
    Francis is the given first name of the American author and poet Bret Harte, known for his stories of the California Gold Rush.
  • E. Francis
    Francis is the given first name of legendary Los Angeles Lakers play-by-play announcer Chick Hearn.
  • F. None of above.

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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8c676c8190ab29f89d50bd09c3 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0314baa408190b1b398dcfaa29c53 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b0351dc18c8190bcd047ccabaa47bc completed March 10, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69b035ce3f8481908673a072eb2e6dcd completed March 10, 2026, 3:16 p.m.
Created at: March 6, 2026, 10:02 p.m.