Triple

T16310503
Position Surface form Disambiguated ID Type / Status
Subject EuroTrip E396041 entity
Predicate mainCharacter P1183 FINISHED
Object Jenny
Jenny is a central character in the 2004 teen comedy film "EuroTrip," which follows a group of friends on a chaotic adventure across Europe.
 E1206321 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: Jenny | Statement: [EuroTrip, mainCharacter, Jenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenny
Context triple: [EuroTrip, mainCharacter, Jenny]
  • A. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • B. Jenny
    "Jenny" is a television series associated with Heather Dubrow, known for featuring her in a prominent role.
  • C. Jenny
    Jenny Saville is a contemporary British painter renowned for her large-scale, unflinching depictions of the human body that challenge conventional ideals of beauty.
  • D. Jenny
    "Jenny" is a pop-rock song by American band The Click Five, known for its catchy melody and themes of unrequited love.
  • E. Jenny
    Jenny von Westphalen was a 19th-century German political activist best known as the wife and close intellectual partner of philosopher and economist Karl Marx.
  • 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: Jenny
Triple: [EuroTrip, mainCharacter, Jenny]
Generated description
Jenny is a central character in the 2004 teen comedy film "EuroTrip," which follows a group of friends on a chaotic adventure across Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jenny
Target entity description: Jenny is a central character in the 2004 teen comedy film "EuroTrip," which follows a group of friends on a chaotic adventure across Europe.
  • A. Jenny
    "Jenny" is a French film featuring actress Sylvia Bataille in a significant role.
  • B. Jenny
    Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
  • C. Jenny
    "Jenny" is a television series associated with Heather Dubrow, known for featuring her in a prominent role.
  • D. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • E. Jenny
    Jenny is the wife of Charlie.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288da27f88190aa241e3addf9cd7f completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa6ceb48190b937a15b94fd3cfa completed May 10, 2026, 6:03 a.m.
NEDg Description generation batch_6a00219696dc8190bcce66c1eeb07561 completed May 10, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_6a002221fe7c819083c8ede5e63b0908 completed May 10, 2026, 6:13 a.m.
Created at: April 10, 2026, 5:06 a.m.