Triple

T15492378
Position Surface form Disambiguated ID Type / Status
Subject John Miljan E378723 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American actor John Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
E1160890 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 Miljan, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Miljan, givenName, John]
  • A. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of Colonel John Parry, a fictional explorer and father of Lyra Belacqua in Philip Pullman’s "His Dark Materials" series.
  • E. John
    John is the given name of American billionaire businessman and media magnate John C. Malone.
  • 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 Miljan, givenName, John]
Generated description
John is the given name of American actor John Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
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 Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
  • A. John
    John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
  • B. John
    John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
  • C. John
    John is the given name of American actor John Hodiak, known for his roles in mid-20th-century Hollywood films.
  • D. 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."
  • E. John
    John is the given name of John Ireland, an Irish-born American actor and film director known for his roles in classic Hollywood cinema.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36595bfc8190a0d60b3cb875ccc5 completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff376dac388190ab3b7e3553d2de29 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:49 a.m.