Triple

T5093062
Position Surface form Disambiguated ID Type / Status
Subject Ken Burrough E114799 entity
Predicate familyName P18 FINISHED
Object Burrough
Burrough is a surname most notably associated with Ken Burrough, a former American football wide receiver who starred for the Houston Oilers in the 1970s.
 E492034 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: Burrough | Statement: [Ken Burrough, familyName, Burrough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burrough
Context triple: [Ken Burrough, familyName, Burrough]
  • A. Junky
    Junky is a semi-autobiographical novel by William S. Burroughs that candidly chronicles heroin addiction and the American drug underworld in the mid-20th century.
  • B. Carnagey
    Carnagey is the family name of Dale Harbison Carnagey, better known as the influential American writer and lecturer Dale Carnegie.
  • C. Benny Profane
    Benny Profane is a hapless, drifting ex-sailor and antihero in Thomas Pynchon's fiction, emblematic of postwar aimlessness and absurdity.
  • D. Wallabout
    Wallabout is a historic waterfront neighborhood in Brooklyn, New York, known for its proximity to the Brooklyn Navy Yard and its early industrial and maritime heritage.
  • E. Crumb
    Crumb is a 1994 documentary film about underground cartoonist Robert Crumb, directed by Terry Zwigoff.
  • 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: Burrough
Triple: [Ken Burrough, familyName, Burrough]
Generated description
Burrough is a surname most notably associated with Ken Burrough, a former American football wide receiver who starred for the Houston Oilers in the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burrough
Target entity description: Burrough is a surname most notably associated with Ken Burrough, a former American football wide receiver who starred for the Houston Oilers in the 1970s.
  • A. Junky
    Junky is a semi-autobiographical novel by William S. Burroughs that candidly chronicles heroin addiction and the American drug underworld in the mid-20th century.
  • B. Carnagey
    Carnagey is the family name of Dale Harbison Carnagey, better known as the influential American writer and lecturer Dale Carnegie.
  • C. Benny Profane
    Benny Profane is a hapless, drifting ex-sailor and antihero in Thomas Pynchon's fiction, emblematic of postwar aimlessness and absurdity.
  • D. Wallabout
    Wallabout is a historic waterfront neighborhood in Brooklyn, New York, known for its proximity to the Brooklyn Navy Yard and its early industrial and maritime heritage.
  • E. Crumb
    Crumb is a 1994 documentary film about underground cartoonist Robert Crumb, directed by Terry Zwigoff.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14f097081908d835190f13796dd completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb202a8748190b677d7bcd2db66c8 completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb28cf7b881909d40b70a7fff5033 completed March 21, 2026, 3 p.m.
Created at: March 20, 2026, 1:40 p.m.