Triple

T18542757
Position Surface form Disambiguated ID Type / Status
Subject The City Heiress E453140 entity
Predicate hasCharacter P2308 FINISHED
Object Jervice
Jervice is a character in Aphra Behn’s Restoration comedy *The City Heiress*, involved in the play’s intricate schemes of love, inheritance, and social ambition.
 E1331081 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: Jervice | Statement: [The City Heiress, hasCharacter, Jervice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jervice
Context triple: [The City Heiress, hasCharacter, Jervice]
  • A. Juber
    Juber is a surname most notably associated with Laurence Juber, the Grammy-winning English guitarist and former member of Paul McCartney’s band Wings.
  • B. JIB
    JIB is the IATA airport code for Djibouti–Ambouli International Airport, the main international gateway serving Djibouti.
  • C. JES
    JES is a local political party active in the Austrian town of Jennersdorf.
  • D. JES
    JES is the station code for Jesmond, a Tyne and Wear Metro station in Newcastle upon Tyne, England.
  • E. JU
    JU is the commonly used abbreviation for Jiwaji University, a public university located in Gwalior, Madhya Pradesh, India.
  • 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: Jervice
Triple: [The City Heiress, hasCharacter, Jervice]
Generated description
Jervice is a character in Aphra Behn’s Restoration comedy *The City Heiress*, involved in the play’s intricate schemes of love, inheritance, and social ambition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jervice
Target entity description: Jervice is a character in Aphra Behn’s Restoration comedy *The City Heiress*, involved in the play’s intricate schemes of love, inheritance, and social ambition.
  • A. Juber
    Juber is a surname most notably associated with Laurence Juber, the Grammy-winning English guitarist and former member of Paul McCartney’s band Wings.
  • B. JIB
    JIB is the IATA airport code for Djibouti–Ambouli International Airport, the main international gateway serving Djibouti.
  • C. JES
    JES is the station code for Jesmond, a Tyne and Wear Metro station in Newcastle upon Tyne, England.
  • D. JES
    JES is a local political party active in the Austrian town of Jennersdorf.
  • E. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b80fc081908488417787d1b166 completed April 19, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ad9d8108190b7251f293563a056 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049d1fabfc8190ade010ba5d2a2c1b completed May 13, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_6a049f83689c81908e02646a157c80d4 completed May 13, 2026, 3:57 p.m.
Created at: April 10, 2026, 11:38 a.m.