Triple

T19841037
Position Surface form Disambiguated ID Type / Status
Subject Eva Le Gallienne E476727 entity
Predicate familyName P18 FINISHED
Object Le Gallienne
Le Gallienne is a surname most notably associated with Eva Le Gallienne, a pioneering British-born American actress, producer, and director in early 20th-century theatre.
E1401988 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: Le Gallienne | Statement: [Eva Le Gallienne, familyName, Le Gallienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Gallienne
Context triple: [Eva Le Gallienne, familyName, Le Gallienne]
  • A. El Guerdane
    El Guerdane is a town in southern Morocco’s Souss-Massa region, known primarily for its agricultural activity, especially citrus and olive production.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Casseneuil
    Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
  • D. Largentière
    Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
  • E. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • 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: Le Gallienne
Triple: [Eva Le Gallienne, familyName, Le Gallienne]
Generated description
Le Gallienne is a surname most notably associated with Eva Le Gallienne, a pioneering British-born American actress, producer, and director in early 20th-century theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le Gallienne
Target entity description: Le Gallienne is a surname most notably associated with Eva Le Gallienne, a pioneering British-born American actress, producer, and director in early 20th-century theatre.
  • A. El Guerdane
    El Guerdane is a town in southern Morocco’s Souss-Massa region, known primarily for its agricultural activity, especially citrus and olive production.
  • B. Assencières
    Assencières is a small commune in the Aube department of north-central France.
  • C. Casseneuil
    Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
  • D. Largentière
    Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
  • E. Boignée
    Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6580576748190b85e234b01209ae7 completed April 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea3386a48190a0c3ef68d88e9e40 completed May 16, 2026, 3:53 a.m.
NEDg Description generation batch_6a07efd91ee081909ea3f16de5aa3cab completed May 16, 2026, 4:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07f04b54a0819087048650f5d180d8 completed May 16, 2026, 4:19 a.m.
Created at: April 10, 2026, 1:51 p.m.