Triple

T18051663
Position Surface form Disambiguated ID Type / Status
Subject itsdangerous E431937 entity
Predicate implements P1417 FINISHED
Object Signer
Signer is a core itsdangerous utility class used to create and verify cryptographically signed values for secure data handling in Python applications.
 E1303162 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: Signer | Statement: [itsdangerous, implements, Signer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Signer
Context triple: [itsdangerous, implements, Signer]
  • A. Korteraar
    Korteraar is a small village in the Dutch province of South Holland, situated within the municipality of Nieuwkoop.
  • B. Teller
    Teller is a small coastal city and Native village in western Alaska located on the Seward Peninsula.
  • C. Teller
    Teller is an American magician, illusionist, and silent half of the duo Penn & Teller, renowned for his innovative, often wordless approach to magic and performance.
  • D. Autograph
    Autograph is a studio album by American rapper Joell Ortiz showcasing his lyrical prowess and storytelling over soulful, boom-bap–influenced production.
  • E. Autograph
    Autograph is a 2010 Bengali psychological drama film directed by Srijit Mukherji, known for its meta-cinematic reimagining of Satyajit Ray’s classic Nayak.
  • 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: Signer
Triple: [itsdangerous, implements, Signer]
Generated description
Signer is a core itsdangerous utility class used to create and verify cryptographically signed values for secure data handling in Python applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Signer
Target entity description: Signer is a core itsdangerous utility class used to create and verify cryptographically signed values for secure data handling in Python applications.
  • A. Korteraar
    Korteraar is a small village in the Dutch province of South Holland, situated within the municipality of Nieuwkoop.
  • B. Teller
    Teller is an American magician, illusionist, and silent half of the duo Penn & Teller, renowned for his innovative, often wordless approach to magic and performance.
  • C. Teller
    Teller is a small coastal city and Native village in western Alaska located on the Seward Peninsula.
  • D. Autograph
    Autograph is a studio album by American rapper Joell Ortiz showcasing his lyrical prowess and storytelling over soulful, boom-bap–influenced production.
  • E. Autograph
    Autograph is a 2010 Bengali psychological drama film directed by Srijit Mukherji, known for its meta-cinematic reimagining of Satyajit Ray’s classic Nayak.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c0fe4f1881908fa8485cb3ccfa44 completed April 19, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349bf5fc48190afd460025b1fe505 completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034b7197e48190ae62f25f2fb434b6 completed May 12, 2026, 3:46 p.m.
NED2 Entity disambiguation (via description) batch_6a034c08c12081908fee77fbb97b5840 completed May 12, 2026, 3:49 p.m.
Created at: April 10, 2026, 10:25 a.m.