Triple

T15330148
Position Surface form Disambiguated ID Type / Status
Subject Like Father E366510 entity
Predicate starring P1507 FINISHED
Object Mary Looram
Mary Looram is an actress known for her role in the film "Like Father."
 E1399127 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 Looram | Statement: [Like Father, starring, Mary Looram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Looram
Context triple: [Like Father, starring, Mary Looram]
  • A. Mary Loos
    Mary Loos was an American screenwriter and author known for her work in mid-20th-century Hollywood film and television.
  • B. Eileen Shearer
    Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
  • C. Maureen Earl
    Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
  • D. Aileen Moss
    Aileen Moss was the mother of legendary British racing driver Stirling Moss and part of a family closely associated with early motor racing.
  • E. Mary Rommely
    Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
  • 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 Looram
Triple: [Like Father, starring, Mary Looram]
Generated description
Mary Looram is an actress known for her role in the film "Like Father."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Looram
Target entity description: Mary Looram is an actress known for her role in the film "Like Father."
  • A. Mary Loos
    Mary Loos was an American screenwriter and author known for her work in mid-20th-century Hollywood film and television.
  • B. Eileen Shearer
    Eileen Shearer is a political figure best known for founding the American Independent Party in the United States.
  • C. Maureen Earl
    Maureen Earl is best known as the wife of American novelist Clifford Irving, who gained notoriety for his fraudulent "autobiography" of Howard Hughes.
  • D. Aileen Moss
    Aileen Moss was the mother of legendary British racing driver Stirling Moss and part of a family closely associated with early motor racing.
  • E. Mary Rommely
    Mary Rommely is the deeply religious, old-world immigrant grandmother in Betty Smith’s novel "A Tree Grows in Brooklyn," known for her enduring faith and influence on her daughter Katie Nolan and granddaughter Francie.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07d41e00d88190a0cf2c1dd598f551 completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d81e5bc881909b109afa7cf71384 completed May 16, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a07d91c50648190a2a9f13daad545fd completed May 16, 2026, 2:40 a.m.
Created at: April 10, 2026, 3:17 a.m.