Triple

T18450030
Position Surface form Disambiguated ID Type / Status
Subject La Petite Fille de Monsieur Linh E450755 entity
Predicate character P662 FINISHED
Object Sang diû
Sang diû is the infant granddaughter whose presence and symbolic innocence anchor the emotional core of Philippe Claudel’s novella *La Petite Fille de Monsieur Linh*.
E1325618 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: Sang diû | Statement: [La Petite Fille de Monsieur Linh, character, Sang diû]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sang diû
Context triple: [La Petite Fille de Monsieur Linh, character, Sang diû]
  • A. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • B. Sang
    Sang is a French term meaning "blood," often used to denote a deep, vivid red color.
  • C. Siri Sanga Bo
    Siri Sanga Bo was a historical Sri Lankan monarch of the Anuradhapura Kingdom, remembered for his piety and moral integrity.
  • D. Mingos
    Mingos is the nickname for the passionate supporters of Forward Madison FC, reflecting the club’s flamingo-themed identity.
  • E. Düne
    Düne is a small neighboring island of Helgoland in the North Sea, known for its sandy beaches, dunes, and seal colonies.
  • 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: Sang diû
Triple: [La Petite Fille de Monsieur Linh, character, Sang diû]
Generated description
Sang diû is the infant granddaughter whose presence and symbolic innocence anchor the emotional core of Philippe Claudel’s novella *La Petite Fille de Monsieur Linh*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sang diû
Target entity description: Sang diû is the infant granddaughter whose presence and symbolic innocence anchor the emotional core of Philippe Claudel’s novella *La Petite Fille de Monsieur Linh*.
  • A. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • B. Sang
    Sang is a French term meaning "blood," often used to denote a deep, vivid red color.
  • C. Siri Sanga Bo
    Siri Sanga Bo was a historical Sri Lankan monarch of the Anuradhapura Kingdom, remembered for his piety and moral integrity.
  • D. Mingos
    Mingos is the nickname for the passionate supporters of Forward Madison FC, reflecting the club’s flamingo-themed identity.
  • E. Düne
    Düne is a small neighboring island of Helgoland in the North Sea, known for its sandy beaches, dunes, and seal colonies.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe3a8248190ab103d8e41141113 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a041176a7e88190a38e3ace547212c2 completed May 13, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0412085b788190b4308f7ece1c7fa3 completed May 13, 2026, 5:54 a.m.
Created at: April 10, 2026, 11:30 a.m.