Triple

T20990940
Position Surface form Disambiguated ID Type / Status
Subject Mary Camden E517021 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is a central fictional character from the television series "7th Heaven," known as the athletic and sometimes rebellious eldest daughter in the Camden family.
 E1460785 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: Mary | Statement: [Mary Camden, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary
Context triple: [Mary Camden, givenName, Mary]
  • A. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • B. Mary
    Mary is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • C. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • D. Mary
    Mary is the given first name of American actress, author, and radio host Marilu Henner.
  • E. Mary
    "Mary" is a song that appears as the B-side to the single "Crucify" by American singer-songwriter Tori Amos.
  • 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: Mary
Triple: [Mary Camden, givenName, Mary]
Generated description
Mary is a central fictional character from the television series "7th Heaven," known as the athletic and sometimes rebellious eldest daughter in the Camden family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary
Target entity description: Mary is a central fictional character from the television series "7th Heaven," known as the athletic and sometimes rebellious eldest daughter in the Camden family.
  • A. Mary
    Mary is the eldest daughter of the Crawley family and a central character in the British period drama series "Downton Abbey."
  • B. Mary
    Mary is a fictional character portrayed by American actress Ashley Scott.
  • C. Mary
    Mary is the central character in the 2006 film "The Nativity Story," portrayed as the young mother of Jesus.
  • D. Mary
    Mary is a fictional character portrayed by British actress Gemma Jones, known for her nuanced performances in film and television.
  • E. Mary
    Mary is the given first name of the American actress Elinor Donahue, known for her roles in classic television series.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fc1ba3d0819080d9d03817a45026 completed April 21, 2026, 4:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092fc0baf88190ae0b911008043e68 completed May 17, 2026, 3:02 a.m.
NEDg Description generation batch_6a0930a5cffc8190a7d1cc19e5cacf49 completed May 17, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a093133c77c8190a9e0326980c7717f completed May 17, 2026, 3:08 a.m.
Created at: April 16, 2026, 1:50 p.m.