Triple

T23442324
Position Surface form Disambiguated ID Type / Status
Subject Bob Belcher E565436 entity
Predicate hasRelative P367 FINISHED
Object Gloria
Gloria is a recurring character in the animated TV series "Bob's Burgers," known as Bob Belcher's loud, overbearing mother.
E1589324 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: Gloria | Statement: [Bob Belcher, hasRelative, Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria
Context triple: [Bob Belcher, hasRelative, Gloria]
  • A. Gloria
    Gloria is a 1980 American crime drama film written and directed by John Cassavetes, starring Gena Rowlands as a tough ex-mobster’s girlfriend protecting a young boy from gangsters.
  • B. Gloria
    "Gloria" is a 1982 dance-pop hit song by American singer Laura Branigan that became one of her signature tracks and a major international success.
  • C. Gloria
    "Gloria" is a work associated with Northern Irish actor Colin Morgan, known for his roles in television, film, and theatre.
  • D. Gloria
    Gloria is a specific horse, likely recognized as an individual member of a larger group or stable of horses.
  • E. Gloria
    Gloria is a municipality located in the province of Oriental Mindoro in the Philippines.
  • 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: Gloria
Triple: [Bob Belcher, hasRelative, Gloria]
Generated description
Gloria is a recurring character in the animated TV series "Bob's Burgers," known as Bob Belcher's loud, overbearing mother.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria
Target entity description: Gloria is a recurring character in the animated TV series "Bob's Burgers," known as Bob Belcher's loud, overbearing mother.
  • A. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • B. Gloria
    Gloria is a central human character in the 2023 film "Barbie," portrayed as a Mattel employee and mother whose personal struggles and imagination help bridge the real world with Barbie Land.
  • C. Gloria
    Gloria is a central character in the 2016 sci-fi dark comedy film "Colossal," where she discovers a mysterious connection between herself and a giant monster wreaking havoc in Seoul.
  • D. Gloria
    Gloria is a charismatic female emperor penguin from the Happy Feet animated film series, known for her powerful singing voice and as Mumble’s love interest and mate.
  • E. Gloria
    Gloria is an angelic character on the television series "Touched by an Angel," known for assisting Monica and Tess in delivering divine guidance to people in need.
  • 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_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_6a0c824b0dfc8190b03fb749d842484d completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca80db6288190ae99313c1f2485db completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:51 p.m.