Triple

T671709
Position Surface form Disambiguated ID Type / Status
Subject K-9 and Company E12984 entity
Predicate directedBy P7373 FINISHED
Object John Black
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
 E88096 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 Black | Statement: [K-9 and Company, directedBy, John Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Black
Context triple: [K-9 and Company, directedBy, John Black]
  • A. Henry Hall
    Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
  • B. Robert Black
    Robert Black is a relatively common personal name shared by multiple notable individuals across fields such as music, literature, and law.
  • C. Peter James
    Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
  • D. Henry Lucas
    Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
  • E. Alfred Drake
    Alfred Drake was a prominent American actor and baritone best known for originating leading roles in landmark mid-20th-century Broadway musicals.
  • 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 Black
Triple: [K-9 and Company, directedBy, John Black]
Generated description
John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Black
Target entity description: John Black is a television director best known for his work on the Doctor Who spin-off special "K-9 and Company."
  • A. Henry Hall
    Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
  • B. Robert Black
    Robert Black is a relatively common personal name shared by multiple notable individuals across fields such as music, literature, and law.
  • C. Peter James
    Peter James is a bestselling British crime and thriller novelist, best known for his Roy Grace detective series.
  • D. Henry Lucas
    Henry Lucas was a 17th-century English clergyman, politician, and benefactor whose endowment led to the creation of the prestigious Lucasian Chair of Mathematics at the University of Cambridge.
  • E. Alfred Drake
    Alfred Drake was a prominent American actor and baritone best known for originating leading roles in landmark mid-20th-century Broadway musicals.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a518e6348190b467c2fab3fd1f11 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a4f8f0081909686a76b4fddda60 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e1541908190b9553506ef5cfdd7 completed March 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69a64e91b28481909d292ce5204a461a completed March 3, 2026, 2:59 a.m.
Created at: March 1, 2026, 7:36 p.m.