Triple

T7849301
Position Surface form Disambiguated ID Type / Status
Subject Dancing with the Stars (season 22) E182002 entity
Predicate thirdPlace P12516 FINISHED
Object Ginger Zee
Ginger Zee is an American meteorologist best known as the chief meteorologist for ABC News and a prominent television personality.
E699923 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: Ginger Zee | Statement: [Dancing with the Stars (season 22), thirdPlace, Ginger Zee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginger Zee
Context triple: [Dancing with the Stars (season 22), thirdPlace, Ginger Zee]
  • A. Joy Bryant
    Joy Bryant is an American actress and former fashion model best known for her role as Jasmine Trussell on the television series "Parenthood."
  • B. Caroline Nantz
    Caroline Nantz is the daughter of renowned American sportscaster Jim Nantz.
  • C. Maria Bartiromo
    Maria Bartiromo is an American financial journalist and television news anchor known for her pioneering work on CNBC and later Fox Business Network.
  • D. Gail Simmons
    Gail Simmons is a Canadian food writer and culinary expert best known as a longtime judge on the reality cooking competition show "Top Chef."
  • E. Rose Morgan
    Rose Morgan is the introspective, insecure Columbia University professor who undergoes a journey of self-discovery and romantic awakening in the film "The Mirror Has Two Faces."
  • 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: Ginger Zee
Triple: [Dancing with the Stars (season 22), thirdPlace, Ginger Zee]
Generated description
Ginger Zee is an American meteorologist best known as the chief meteorologist for ABC News and a prominent television personality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ginger Zee
Target entity description: Ginger Zee is an American meteorologist best known as the chief meteorologist for ABC News and a prominent television personality.
  • A. Reese Meredith
    Reese Meredith was an 18th-century Philadelphia merchant and political figure connected to early American revolutionary circles.
  • B. Joy Bryant
    Joy Bryant is an American actress and former fashion model best known for her role as Jasmine Trussell on the television series "Parenthood."
  • C. Caroline Nantz
    Caroline Nantz is the daughter of renowned American sportscaster Jim Nantz.
  • D. Maria Bartiromo
    Maria Bartiromo is an American financial journalist and television news anchor known for her pioneering work on CNBC and later Fox Business Network.
  • E. Gail Simmons
    Gail Simmons is a Canadian food writer and culinary expert best known as a longtime judge on the reality cooking competition show "Top Chef."
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18e989ac819090e459b77d8932d3 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0515c08190b866a39749d54849 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:50 p.m.