Triple

T8736046
Position Surface form Disambiguated ID Type / Status
Subject Frank Finlay E207386 entity
Predicate givenName P17 FINISHED
Object Francis
Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
E753267 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: [Frank Finlay, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Frank Finlay, givenName, Francis]
  • A. Francis
    Francis is the given first name of legendary Los Angeles Lakers play-by-play announcer Chick Hearn.
  • B. Francis
    Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
  • C. Francis
    Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
  • D. Francis
    Francis was a German nobleman who served as Duke of Saxe-Coburg-Saalfeld in the late 18th and early 19th centuries.
  • E. Francis
    Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
  • 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: [Frank Finlay, givenName, Francis]
Generated description
Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
  • A. Francis
    Francis is the given first name of American character actor Frank McHugh, known for his prolific work in early 20th-century film and theater.
  • B. Francis
    Francis is the given name of Frank Russell, 2nd Earl Russell, a British aristocrat and politician.
  • C. Francis
    Francis is the given first name of Scottish former professional footballer Frank McAvennie.
  • D. 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."
  • E. Francis
    Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d44275881909f7eb40b24180294 completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf293a6a3c8190b37738d222b9212f completed April 3, 2026, 2:43 a.m.
NEDg Description generation batch_69cf2bd4f50c8190bad328e82d299ae0 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cbf60808190a006ee4fb26cde41 completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:38 p.m.