Triple

T3341208
Position Surface form Disambiguated ID Type / Status
Subject U.S. broadcast television networks E70263 entity
Predicate includeNetwork P2637 FINISHED
Object Comet
Comet is a U.S. digital broadcast television network specializing in science fiction, fantasy, and horror programming.
 E349834 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: Comet | Statement: [U.S. broadcast television networks, includeNetwork, Comet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Comet
Context triple: [U.S. broadcast television networks, includeNetwork, Comet]
  • A. Comet
    Comet is one of Santa Claus’s traditional flying reindeer, often depicted as swift and spirited as he helps pull Santa’s sleigh on Christmas Eve.
  • B. Comet
    Comet is a popular science book by Carl Sagan and Ann Druyan that explores the nature, history, and cultural impact of comets in the solar system.
  • C. Komet
    Komet was the nickname of the Messerschmitt Me 163, a German World War II rocket-powered interceptor aircraft known for its extraordinary speed and unconventional design.
  • D. Comets
    The Comets are the athletic teams representing Capital University in intercollegiate sports.
  • E. Dibiasky comet
    The Dibiasky comet is the fictional, Earth-destroying comet central to the plot of the satirical disaster film "Don't Look Up."
  • 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: Comet
Triple: [U.S. broadcast television networks, includeNetwork, Comet]
Generated description
Comet is a U.S. digital broadcast television network specializing in science fiction, fantasy, and horror programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Comet
Target entity description: Comet is a U.S. digital broadcast television network specializing in science fiction, fantasy, and horror programming.
  • A. Comet
    Comet is one of Santa Claus’s traditional flying reindeer, often depicted as swift and spirited as he helps pull Santa’s sleigh on Christmas Eve.
  • B. Comet
    Comet is a popular science book by Carl Sagan and Ann Druyan that explores the nature, history, and cultural impact of comets in the solar system.
  • C. Komet
    Komet was the nickname of the Messerschmitt Me 163, a German World War II rocket-powered interceptor aircraft known for its extraordinary speed and unconventional design.
  • D. Comets
    The Comets are the athletic teams representing Capital University in intercollegiate sports.
  • E. Dibiasky comet
    The Dibiasky comet is the fictional, Earth-destroying comet central to the plot of the satirical disaster film "Don't Look Up."
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31c3aaba48190b203e344d71080f3 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da28a04819096e7ced5f123592a completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:12 p.m.