Triple

T4030097
Position Surface form Disambiguated ID Type / Status
Subject The Secret Code E83686 entity
Predicate castMember P1668 FINISHED
Object John Holland
John Holland was an American actor known for his supporting roles in mid-20th-century film and television productions.
E407983 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 Holland | Statement: [The Secret Code, castMember, John Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Holland
Context triple: [The Secret Code, castMember, John Holland]
  • A. Bruce Smeaton
    Bruce Smeaton is an Australian composer best known for his film scores, particularly for notable Australian and international movies from the 1970s onward.
  • B. Walter P. Moore
    Walter P. Moore was a prominent American structural engineer known for pioneering work on large-span sports facilities and innovative stadium designs.
  • C. William Tracy
    William Tracy was an American film actor best known for his comedic roles in 1930s and 1940s Hollywood movies.
  • D. John William Wallace Otto
    John William Wallace Otto was a compiler and editor known for assembling the legal and governmental documents published as the Otto Reports.
  • E. Charles Gwathmey
    Charles Gwathmey was a prominent American modernist architect known for his influential residential designs and as a key member of the New York Five.
  • 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 Holland
Triple: [The Secret Code, castMember, John Holland]
Generated description
John Holland was an American actor known for his supporting roles in mid-20th-century film and television productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Holland
Target entity description: John Holland was an American actor known for his supporting roles in mid-20th-century film and television productions.
  • A. Bruce Smeaton
    Bruce Smeaton is an Australian composer best known for his film scores, particularly for notable Australian and international movies from the 1970s onward.
  • B. Walter P. Moore
    Walter P. Moore was a prominent American structural engineer known for pioneering work on large-span sports facilities and innovative stadium designs.
  • C. William Tracy
    William Tracy was an American film actor best known for his comedic roles in 1930s and 1940s Hollywood movies.
  • D. John William Wallace Otto
    John William Wallace Otto was a compiler and editor known for assembling the legal and governmental documents published as the Otto Reports.
  • E. Charles Gwathmey
    Charles Gwathmey was a prominent American modernist architect known for his influential residential designs and as a key member of the New York Five.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55638390481909d8e4b7340f92a06 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556accd488190867e1f9c77f9a8ee completed March 14, 2026, 12:38 p.m.
NED2 Entity disambiguation (via description) batch_69b5571a68d881909539e058c2fa3721 completed March 14, 2026, 12:39 p.m.
Created at: March 9, 2026, 3:36 p.m.