Triple

T2722027
Position Surface form Disambiguated ID Type / Status
Subject Lew Ayres E60101 entity
Predicate spouse P13 FINISHED
Object Lola Lane
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
E292221 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: Lola Lane | Statement: [Lew Ayres, spouse, Lola Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola Lane
Context triple: [Lew Ayres, spouse, Lola Lane]
  • A. Melissa Lane
    Melissa Lane is a political philosopher and scholar best known for her work on ancient Greek political thought and its relevance to contemporary political theory.
  • B. Hielan’ Laddie
    Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
  • C. Carrie Lane
    Carrie Lane was the birth name of Carrie Chapman Catt, a prominent American suffragist and peace activist who led the campaign for women's right to vote in the United States.
  • D. Lori
    Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
  • E. Felicia Lyn
    Felicia Lyn is known as the wife of former Panamanian military ruler Manuel Noriega.
  • 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: Lola Lane
Triple: [Lew Ayres, spouse, Lola Lane]
Generated description
Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lola Lane
Target entity description: Lola Lane was an American film actress best known as one of the Lane Sisters, who appeared in numerous Hollywood productions during the 1930s and 1940s.
  • A. Melissa Lane
    Melissa Lane is a political philosopher and scholar best known for her work on ancient Greek political thought and its relevance to contemporary political theory.
  • B. Hielan’ Laddie
    Hielan’ Laddie is a traditional Scottish pipe tune widely known as a military march, particularly associated with Highland regiments.
  • C. Carrie Lane
    Carrie Lane was the birth name of Carrie Chapman Catt, a prominent American suffragist and peace activist who led the campaign for women's right to vote in the United States.
  • D. Lori
    Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
  • E. Felicia Lyn
    Felicia Lyn is known as the wife of former Panamanian military ruler Manuel Noriega.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab2f36c8190aa0b452e57525fe0 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6939a50819087ac2c55337ceae3 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb74d9f4c8190b6b3f568babfb7b5 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c2b9d08190bce599c364d809b7 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.