Triple

T3017568
Position Surface form Disambiguated ID Type / Status
Subject Four Daughters E82373 entity
Predicate starring P1507 FINISHED
Object Gale Page
Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
E319610 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: Gale Page | Statement: [Four Daughters, starring, Gale Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gale Page
Context triple: [Four Daughters, starring, Gale Page]
  • A. Glenna Goodacre
    Glenna Goodacre was an American sculptor renowned for her figurative public monuments, including the Vietnam Women's Memorial in Washington, D.C., and the design of the U.S. Sacagawea dollar coin.
  • B. Gloria Page
    Gloria Page is known as the mother of Larry Page, the co-founder of Google.
  • C. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • D. Kate Wollman
    Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
  • E. Charlotte Rae
    Charlotte Rae was an American actress and singer best known for her role as the wise and caring housemother Edna Garrett on the television sitcoms "Diff'rent Strokes" and "The Facts of Life."
  • 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: Gale Page
Triple: [Four Daughters, starring, Gale Page]
Generated description
Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gale Page
Target entity description: Gale Page was an American film and television actress best known for her roles in 1930s and 1940s Hollywood dramas.
  • A. Glenna Goodacre
    Glenna Goodacre was an American sculptor renowned for her figurative public monuments, including the Vietnam Women's Memorial in Washington, D.C., and the design of the U.S. Sacagawea dollar coin.
  • B. Gloria Page
    Gloria Page is known as the mother of Larry Page, the co-founder of Google.
  • C. Mary Wheeler
    Mary Wheeler is a sibling of the renowned American theoretical physicist John Archibald Wheeler.
  • D. Kate Wollman
    Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
  • E. Charlotte Rae
    Charlotte Rae was an American actress and singer best known for her role as the wise and caring housemother Edna Garrett on the television sitcoms "Diff'rent Strokes" and "The Facts of Life."
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a90ea64819080620e60bbd6aa24 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e71a9c08190848ecb3bcab18bb5 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b132319fd481908426670f319f56c5 completed March 11, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_69b1d6729f848190a275638f074c1729 completed March 11, 2026, 8:54 p.m.
Created at: March 8, 2026, 3 p.m.