Triple

T15266271
Position Surface form Disambiguated ID Type / Status
Subject Peggy Moran E364908 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the first name of American film actress Peggy Moran, who appeared in numerous Hollywood movies during the late 1930s and early 1940s.
 E1148860 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: [Peggy Moran, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary
Context triple: [Peggy Moran, givenName, Mary]
  • A. Mary
    Mary is the birth name of Dusty Springfield, the acclaimed British pop singer known for hits like "Son of a Preacher Man."
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the middle name of Joseph Plunkett, the Irish nationalist, poet, and 1916 Easter Rising leader.
  • D. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • E. Mary
    Mary is a film featuring Italian actor Marco Leonardi, known for his roles in internationally acclaimed cinema.
  • 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: [Peggy Moran, givenName, Mary]
Generated description
Mary is the first name of American film actress Peggy Moran, who appeared in numerous Hollywood movies during the late 1930s and early 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary
Target entity description: Mary is the first name of American film actress Peggy Moran, who appeared in numerous Hollywood movies during the late 1930s and early 1940s.
  • A. Mary
    Mary is the given first name of the American actress and singer Peggy Wood, known for her work on stage, film, and television.
  • B. Mary
    Mary is the given name of American character actress Marjorie Main, known for her roles in classic Hollywood films.
  • C. Mary
    Mary is the given name of American silent film actress Mae Marsh, known for her roles in early 20th-century cinema.
  • D. Mary
    Mary is the given first name of the American actress Elinor Donahue, known for her roles in classic television series.
  • E. Mary
    Mary is the given name of the American stage and film actress Josephine Hull, known for her roles in classic mid-20th-century theater and cinema.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef6fc290819096ef03f8ecae8876 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef38868548190877cf25a38bb805a completed May 9, 2026, 8:42 a.m.
NED2 Entity disambiguation (via description) batch_69fef435b1208190bd839297a2f8d3f4 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:14 a.m.