Triple

T3237203
Position Surface form Disambiguated ID Type / Status
Subject The Tale E67882 entity
Predicate editor P1954 FINISHED
Object Alexandra Strauss
Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
 E340337 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: Alexandra Strauss | Statement: [The Tale, editor, Alexandra Strauss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexandra Strauss
Context triple: [The Tale, editor, Alexandra Strauss]
  • A. Mary Gimbel
    Mary Gimbel is best known as the first wife of acclaimed American film director Sidney Lumet.
  • B. Tiffany
    Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
  • C. J. C. Stearns
    J. C. Stearns was one of the contributing authors to the influential Franck Report on the implications of nuclear weapons during the Manhattan Project era.
  • D. Tiffany & Co.
    Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
  • E. Cynthia Rowley
    Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
  • 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: Alexandra Strauss
Triple: [The Tale, editor, Alexandra Strauss]
Generated description
Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexandra Strauss
Target entity description: Alexandra Strauss is a literary editor known for her work shaping and refining the text of *The Tale*.
  • A. Mary Gimbel
    Mary Gimbel is best known as the first wife of acclaimed American film director Sidney Lumet.
  • B. Tiffany
    Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
  • C. J. C. Stearns
    J. C. Stearns was one of the contributing authors to the influential Franck Report on the implications of nuclear weapons during the Manhattan Project era.
  • D. Tiffany & Co.
    Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
  • E. Cynthia Rowley
    Cynthia Rowley is an American fashion designer known for her playful, colorful, and adventurous ready-to-wear and accessories collections.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774a97c481908be820bc5ddf786d completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:08 p.m.