Triple

T1947131
Position Surface form Disambiguated ID Type / Status
Subject The Lower Depths E42080 entity
Predicate notableCharacter P1481 FINISHED
Object Luka
Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
 E218164 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: Luka | Statement: [The Lower Depths, notableCharacter, Luka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luka
Context triple: [The Lower Depths, notableCharacter, Luka]
  • A. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • B. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • C. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Andrej
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • 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: Luka
Triple: [The Lower Depths, notableCharacter, Luka]
Generated description
Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luka
Target entity description: Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • A. Julijan
    Julijan is a given name, commonly used in Slavic regions, that corresponds to the name Julian.
  • B. Lukas
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • C. Saša
    Saša is a given name commonly used in Slavic countries, often as a diminutive of Aleksandar or Aleksandra.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Andrej
    Andrej is a masculine given name, commonly used in Slavic countries as a variant of Andrew.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbf724081909b24680d483edbd1 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6aa96c81909ae3cff6c7ab7f79 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcebbc808190a74f9082636bce11 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.