Triple

T3802860
Position Surface form Disambiguated ID Type / Status
Subject John Goodman E91731 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
E391122 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: John | Statement: [John Goodman, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Goodman, givenName, John]
  • A. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • B. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • C. John
    John is the given name of John Peter Altgeld, a prominent 19th-century American politician and reformist governor of Illinois.
  • D. John
    John is the given name of John Ruskin, the influential 19th-century English art critic, social thinker, and writer.
  • E. John
    John Reid, Baron Reid of Cardowan, is a Scottish Labour politician who held several senior UK government posts, including Home Secretary and Defence Secretary, in the late 1990s and 2000s.
  • 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: John
Triple: [John Goodman, givenName, John]
Generated description
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
  • A. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • B. John
    John is the given name of English actor and musician John Simm, known for roles in series such as "Life on Mars" and "Doctor Who."
  • C. John
    John is the birth name of American actor and filmmaker Jack Nicholson, one of cinema’s most acclaimed and iconic performers.
  • D. John
    John is the given name of the late Canadian actor and comedian John Candy, known for his roles in films like "Planes, Trains and Automobiles" and "Uncle Buck."
  • E. John
    John is the birth name of American actor Jack Lemmon, a celebrated star of classic films such as "Some Like It Hot" and "The Apartment."
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bacf2881908198a77063d15d16 completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb270b008190bbd87cbddacb7204 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fcb41dac8190ad127d0c23bef877 completed March 14, 2026, 6:14 a.m.
NED2 Entity disambiguation (via description) batch_69b4fdd7201c819087e710ad64216fc5 completed March 14, 2026, 6:19 a.m.
Created at: March 9, 2026, 3:15 p.m.