Triple

T19090174
Position Surface form Disambiguated ID Type / Status
Subject William Adama E467261 entity
Predicate alsoKnownAs P39 FINISHED
Object Husker
Husker is the callsign of William Adama, the famed Colonial Fleet officer and central character in the reimagined Battlestar Galactica series.
 E1357847 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: Husker | Statement: [William Adama, alsoKnownAs, Husker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Husker
Context triple: [William Adama, alsoKnownAs, Husker]
  • A. Herbie Husker
    Herbie Husker is the cowboy-hatted, overall-wearing agricultural-themed mascot representing the University of Nebraska–Lincoln’s Cornhuskers athletic teams.
  • B. Razorback
    Razorback is a 1984 Australian horror film about a giant wild boar terrorizing the Outback.
  • C. Razorback
    Razorback is the wild hog that serves as the iconic athletic mascot of the University of Arkansas.
  • D. Bronco
    Bronco is a line of rugged sport-utility vehicles produced by Ford, known for their off-road capability and iconic boxy styling.
  • E. Cornhuskers
    Cornhuskers is a Pulitzer Prize–winning poetry collection by Carl Sandburg that captures the lives, landscapes, and voices of rural America in the early 20th century.
  • 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: Husker
Triple: [William Adama, alsoKnownAs, Husker]
Generated description
Husker is the callsign of William Adama, the famed Colonial Fleet officer and central character in the reimagined Battlestar Galactica series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Husker
Target entity description: Husker is the callsign of William Adama, the famed Colonial Fleet officer and central character in the reimagined Battlestar Galactica series.
  • A. Herbie Husker
    Herbie Husker is the cowboy-hatted, overall-wearing agricultural-themed mascot representing the University of Nebraska–Lincoln’s Cornhuskers athletic teams.
  • B. Razorback
    Razorback is a 1984 Australian horror film about a giant wild boar terrorizing the Outback.
  • C. Razorback
    Razorback is the wild hog that serves as the iconic athletic mascot of the University of Arkansas.
  • D. Bronco
    Bronco is a line of rugged sport-utility vehicles produced by Ford, known for their off-road capability and iconic boxy styling.
  • E. Cornhuskers
    Cornhuskers is a Pulitzer Prize–winning poetry collection by Carl Sandburg that captures the lives, landscapes, and voices of rural America in the early 20th century.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34a589c8190b5171fab45bf2204 completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd9273cc81909dc0252b5959b050 completed May 14, 2026, 2:34 p.m.
NEDg Description generation batch_6a05dfddc64c81909e630fd628f7b8e6 completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e09c58308190975c69c86482292a completed May 14, 2026, 2:47 p.m.
Created at: April 10, 2026, 12:04 p.m.