Triple

T673811
Position Surface form Disambiguated ID Type / Status
Subject Lucent Technologies E13034 entity
Predicate keyPerson P256 FINISHED
Object Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
E199480 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: Patricia Russo | Statement: [Lucent Technologies, keyPerson, Patricia Russo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Russo
Context triple: [Lucent Technologies, keyPerson, Patricia Russo]
  • A. Barbara Robbins
    Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
  • B. Carole Rothman
    Carole Rothman is an American theater producer and director best known as the co-founder and longtime artistic leader of New York’s Off-Broadway company Second Stage Theater.
  • C. Lauretta Geigerman
    Lauretta Geigerman was the wife of American mob boss Frank Costello, a prominent figure in mid-20th-century organized crime.
  • D. Patricia Price
    Patricia Price is best known as the first wife of legendary American comedian and actor Richard Pryor.
  • E. Gloria Rudisch
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • 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: Patricia Russo
Triple: [Lucent Technologies, keyPerson, Patricia Russo]
Generated description
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patricia Russo
Target entity description: Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
  • A. Barbara Robbins
    Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
  • B. Carole Rothman
    Carole Rothman is an American theater producer and director best known as the co-founder and longtime artistic leader of New York’s Off-Broadway company Second Stage Theater.
  • C. Lauretta Geigerman
    Lauretta Geigerman was the wife of American mob boss Frank Costello, a prominent figure in mid-20th-century organized crime.
  • D. Patricia Price
    Patricia Price is best known as the first wife of legendary American comedian and actor Richard Pryor.
  • E. Gloria Rudisch
    Gloria Rudisch is an American pediatrician and public health official best known as the wife of artificial intelligence pioneer Marvin Minsky.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a02537d08190942ee5fc8c50610a completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada94e727881909bee9e71a404c95a completed March 8, 2026, 4:52 p.m.
NEDg Description generation batch_69adae972d1081909cd13e8220c3ccc6 completed March 8, 2026, 5:15 p.m.
NED2 Entity disambiguation (via description) batch_69adaf9d042481909dbd54d9e04e444e completed March 8, 2026, 5:19 p.m.
Created at: March 1, 2026, 7:36 p.m.