Triple

T17641376
Position Surface form Disambiguated ID Type / Status
Subject The Time of Your Life E429236 entity
Predicate featuresCharacter P626 FINISHED
Object Mary L.
Mary L. is a character in William Saroyan’s play "The Time of Your Life," representing one of the many colorful figures who populate its San Francisco waterfront setting.
E1278817 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 L. | Statement: [The Time of Your Life, featuresCharacter, Mary L.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary L.
Context triple: [The Time of Your Life, featuresCharacter, Mary L.]
  • A. Mary Lynn
    Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
  • B. Mary Elizabeth Lyons
    Mary Elizabeth Lyons was the wife of Henry A. Wise, a prominent 19th-century American politician and governor of Virginia.
  • C. Mary-Louise
    Mary-Louise is a feminine given name most notably associated with American actress Mary-Louise Parker.
  • D. Mary Ellis
    Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
  • E. Mary Morris
    Mary "May" Morris was a British artisan, designer, and influential figure in the Arts and Crafts movement, known especially for her innovative embroidery and textile work.
  • 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 L.
Triple: [The Time of Your Life, featuresCharacter, Mary L.]
Generated description
Mary L. is a character in William Saroyan’s play "The Time of Your Life," representing one of the many colorful figures who populate its San Francisco waterfront setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary L.
Target entity description: Mary L. is a character in William Saroyan’s play "The Time of Your Life," representing one of the many colorful figures who populate its San Francisco waterfront setting.
  • A. Mary Lynn
    Mary Lynn is an American actress and comedian best known for her role as computer analyst Chloe O'Brian on the television series "24."
  • B. Mary Elizabeth Lyons
    Mary Elizabeth Lyons was the wife of Henry A. Wise, a prominent 19th-century American politician and governor of Virginia.
  • C. Mary-Louise
    Mary-Louise is a feminine given name most notably associated with American actress Mary-Louise Parker.
  • D. Mary Ellis
    Mary Ellis was a British actress known for her work on stage and screen in the early to mid-20th century.
  • E. Mary Morris
    Mary "May" Morris was a British artisan, designer, and influential figure in the Arts and Crafts movement, known especially for her innovative embroidery and textile work.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46de645208190a40dcf443f8afd82 completed April 19, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020aa7be948190bf0ab64a2908d3b1 completed May 11, 2026, 4:58 p.m.
NEDg Description generation batch_6a020b51c208819083b1634221929628 completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020bd466d881909ffdfe3cf932b980 completed May 11, 2026, 5:03 p.m.
Created at: April 10, 2026, 6:03 a.m.