Triple

T144027
Position Surface form Disambiguated ID Type / Status
Subject Linda Salzman Sagan E2913 entity
Predicate givenName P17 FINISHED
Object Linda
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
 E28018 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: Linda | Statement: [Linda Salzman Sagan, givenName, Linda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linda
Context triple: [Linda Salzman Sagan, givenName, Linda]
  • A. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • B. Maxine
    Maxine is a character featured in the film "Once Again."
  • C. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • 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: Linda
Triple: [Linda Salzman Sagan, givenName, Linda]
Generated description
Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linda
Target entity description: Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • A. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • B. Maxine
    Maxine is a character featured in the film "Once Again."
  • C. Nancy
    Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257caf678819092e975d5167f9df4 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a347634d58819096655bcdc1378780 completed Feb. 28, 2026, 7:52 p.m.
NEDg Description generation batch_69a34a03368881908f2022d81d0acc72 completed Feb. 28, 2026, 8:03 p.m.
NED2 Entity disambiguation (via description) batch_69a34a6c4c8c8190b483c52898e84f55 completed Feb. 28, 2026, 8:05 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.