Triple

T19876372
Position Surface form Disambiguated ID Type / Status
Subject Peter Rader E477647 entity
Predicate notableWork P4 FINISHED
Object Dog’s Best Friend
Dog’s Best Friend is a book by Peter Rader, best known as a work by the writer and filmmaker behind the film Waterworld.
 E1399837 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: Dog’s Best Friend | Statement: [Peter Rader, notableWork, Dog’s Best Friend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dog’s Best Friend
Context triple: [Peter Rader, notableWork, Dog’s Best Friend]
  • A. Man About Dog
    Man About Dog is a 2004 Irish comedy film centered on three small-time Belfast gamblers who get entangled in greyhound racing schemes.
  • B. Two Dogs
    "Two Dogs" is a blues-rock album by American guitarist and singer Popa Chubby, showcasing his gritty vocals and fiery electric guitar style.
  • C. The Dog in Me
    The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
  • D. No More Doggin'
    "No More Doggin'" is a rhythm and blues song by Rosco Gordon that became one of his best-known recordings and an influential early example of the shuffle style.
  • E. The Dogs
    The Dogs is a nickname commonly used for sports teams or groups whose mascots or identities are associated with dogs, often evoking toughness and loyalty.
  • 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: Dog’s Best Friend
Triple: [Peter Rader, notableWork, Dog’s Best Friend]
Generated description
Dog’s Best Friend is a book by Peter Rader, best known as a work by the writer and filmmaker behind the film Waterworld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dog’s Best Friend
Target entity description: Dog’s Best Friend is a book by Peter Rader, best known as a work by the writer and filmmaker behind the film Waterworld.
  • A. Man About Dog
    Man About Dog is a 2004 Irish comedy film centered on three small-time Belfast gamblers who get entangled in greyhound racing schemes.
  • B. Two Dogs
    "Two Dogs" is a blues-rock album by American guitarist and singer Popa Chubby, showcasing his gritty vocals and fiery electric guitar style.
  • C. The Dog in Me
    The Dog in Me is a song featured on the album "Beware of Dog" by rapper Lil' Bow Wow.
  • D. No More Doggin'
    "No More Doggin'" is a rhythm and blues song by Rosco Gordon that became one of his best-known recordings and an influential early example of the shuffle style.
  • E. The Dogs
    The Dogs is a nickname commonly used for sports teams or groups whose mascots or identities are associated with dogs, often evoking toughness and loyalty.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc82f0881909556c54b8ce3533f completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:52 p.m.