Triple

T9088566
Position Surface form Disambiguated ID Type / Status
Subject Jake Tucker E217819 entity
Predicate appearsInEpisode P795 FINISHED
Object Mother Tucker
"Mother Tucker" is an episode of the animated television series Family Guy centered around the character Jake Tucker and his family.
 E777540 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: Mother Tucker | Statement: [Jake Tucker, appearsInEpisode, Mother Tucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mother Tucker
Context triple: [Jake Tucker, appearsInEpisode, Mother Tucker]
  • A. Mother Ann
    Mother Ann was the religious leader Ann Lee, founder of the Shaker movement in 18th-century America.
  • B. Mary Ann Pearce
    Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
  • C. Martha Huggins
    Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
  • D. Mary Anne Grindall
    Mary Anne Grindall was the wife of British civil servant, political reformer, and ornithologist Allan Octavian Hume.
  • E. Mary Tavy
    Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
  • 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: Mother Tucker
Triple: [Jake Tucker, appearsInEpisode, Mother Tucker]
Generated description
"Mother Tucker" is an episode of the animated television series Family Guy centered around the character Jake Tucker and his family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mother Tucker
Target entity description: "Mother Tucker" is an episode of the animated television series Family Guy centered around the character Jake Tucker and his family.
  • A. Mother Ann
    Mother Ann was the religious leader Ann Lee, founder of the Shaker movement in 18th-century America.
  • B. Mary Ann Pearce
    Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
  • C. Martha Huggins
    Martha Huggins is an actress best known for her role in the classic film "The Ghost and Mrs. Muir."
  • D. Mary Anne Grindall
    Mary Anne Grindall was the wife of British civil servant, political reformer, and ornithologist Allan Octavian Hume.
  • E. Mary Tavy
    Mary Tavy is a village on the western edge of Dartmoor in Devon, England, historically known for its mining industry and scenic rural setting.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9657d48081909e0ae0f1fa8ff599 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017d500988190a6abf633f2226858 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:14 p.m.