Triple

T23442341
Position Surface form Disambiguated ID Type / Status
Subject Bob Belcher E565436 entity
Predicate neighborOf P350 FINISHED
Object Teddy
Teddy is the friendly, blue-collar handyman and loyal regular at Bob's Burgers in the animated TV series "Bob's Burgers."
E565438 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: Teddy | Statement: [Bob Belcher, neighborOf, Teddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teddy
Context triple: [Bob Belcher, neighborOf, Teddy]
  • A. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • B. Teddy
    Teddy is the nickname of Teddy Kollek, the long-serving and influential former mayor of Jerusalem.
  • C. Teddy
    Teddy is the young English boy in Rudyard Kipling’s story “Rikki-Tikki-Tavi,” whose life is saved from deadly cobras by the brave mongoose.
  • D. Teddy
    Teddy is a short story by J.D. Salinger that follows a spiritually precocious child whose philosophical insights unsettle the adults around him.
  • E. Teddy
    Teddy is the metamorphmagus son of Remus Lupin and Nymphadora Tonks in the Harry Potter series, known for being orphaned during the Battle of Hogwarts and later raised by his grandmother and the Weasley-Potter family.
  • 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: Teddy
Triple: [Bob Belcher, neighborOf, Teddy]
Generated description
Teddy is the friendly, blue-collar handyman and loyal regular at Bob's Burgers in the animated TV series "Bob's Burgers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teddy
Target entity description: Teddy is the friendly, blue-collar handyman and loyal regular at Bob's Burgers in the animated TV series "Bob's Burgers."
  • A. Teddy chosen
    Teddy is a recurring character on the animated TV show "Bob's Burgers," known as the Belcher family's loyal but somewhat bumbling handyman and regular customer.
  • B. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • C. Teddy
    Teddy is a superhero character associated with Marvel's Future Foundation, often depicted as a young, gifted member involved in advanced scientific and cosmic adventures.
  • D. Teddy
    Teddy is the metamorphmagus son of Remus Lupin and Nymphadora Tonks in the Harry Potter series, known for being orphaned during the Battle of Hogwarts and later raised by his grandmother and the Weasley-Potter family.
  • E. Teddy
    Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
  • F. None of above.

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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64654e88190b530958b27b32412 completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b583fc8190941de49b824f9c98 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7217edc881909f582f0c726d7e61 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76f0f4bc81909912d2196e969cf1 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:51 p.m.