Triple

T16072405
Position Surface form Disambiguated ID Type / Status
Subject John Frankenheimer E389895 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
E1193738 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 Frankenheimer, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Frankenheimer, givenName, John]
  • A. John
    John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • B. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • C. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • D. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • E. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • 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 Frankenheimer, givenName, John]
Generated description
John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
  • A. John
    John is the given name of American film director John Sturges, known for classic Westerns and action films such as "The Magnificent Seven" and "The Great Escape."
  • B. John
    John is the given name of American screenwriter and director John Milius, known for his work on films like "Apocalypse Now" and "Conan the Barbarian."
  • C. John
    John is the given name of American filmmaker John Hughes, known for his influential 1980s teen comedies and coming-of-age films.
  • D. John
    John is the first name of American filmmaker John Lee Hancock, known for directing and writing several popular Hollywood films.
  • E. John
    John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183bf6c488190b0099a00f13f2a69 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb8b1b2c8190949943b20f2f8574 completed May 10, 2026, 2:20 a.m.
NEDg Description generation batch_69ffec06b344819093f164f15f104717 completed May 10, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffec9fc93881909b80bbfe324ebc2c completed May 10, 2026, 2:25 a.m.
Created at: April 10, 2026, 4:57 a.m.