Triple

T13127635
Position Surface form Disambiguated ID Type / Status
Subject Alona Tal E311883 entity
Predicate playedCharacter P1507 FINISHED
Object Meg Manning
Meg Manning is a popular yet complex high school student and cheerleader from the television series "Veronica Mars."
E1023195 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: Meg Manning | Statement: [Alona Tal, playedCharacter, Meg Manning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meg Manning
Context triple: [Alona Tal, playedCharacter, Meg Manning]
  • A. Kim Johnson
    Kim Johnson is known as the wife of American singer-songwriter and surfer Jack Johnson.
  • B. Neil Welliver
    Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • C. Bill Manning
    Bill Manning is an American sports executive best known for serving as president of Major League Soccer clubs, including Toronto FC and previously Real Salt Lake.
  • D. Jody Hice
    Jody Hice is an American Republican politician and former pastor who represented Georgia in the U.S. House of Representatives.
  • E. Keith Moseley
    Keith Moseley is an American bassist best known as a founding member of the jam band The String Cheese Incident.
  • 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: Meg Manning
Triple: [Alona Tal, playedCharacter, Meg Manning]
Generated description
Meg Manning is a popular yet complex high school student and cheerleader from the television series "Veronica Mars."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meg Manning
Target entity description: Meg Manning is a popular yet complex high school student and cheerleader from the television series "Veronica Mars."
  • A. Kim Johnson
    Kim Johnson is known as the wife of American singer-songwriter and surfer Jack Johnson.
  • B. Neil Welliver
    Neil Welliver was an American painter best known for his large-scale, realist landscapes of the Maine wilderness.
  • C. Bill Manning
    Bill Manning is an American sports executive best known for serving as president of Major League Soccer clubs, including Toronto FC and previously Real Salt Lake.
  • D. Jody Hice
    Jody Hice is an American Republican politician and former pastor who represented Georgia in the U.S. House of Representatives.
  • E. Keith Moseley
    Keith Moseley is an American bassist best known as a founding member of the jam band The String Cheese Incident.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819aac388190b59bf43cc6a49d0c completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28e922881909584296adc95d9b4 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e6d4aedc819090e6433600db4b31 completed May 3, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6e79e40bc8190bcf72d719d4e88dd completed May 3, 2026, 6:13 a.m.
Created at: April 9, 2026, 9:07 p.m.