Triple

T15811090
Position Surface form Disambiguated ID Type / Status
Subject Hang Time E383353 entity
Predicate hasCastMember P2308 FINISHED
Object Kristen Knight
Kristen Knight is an actress best known for her role on the 1990s American teen sitcom "Hang Time."
E1178474 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: Kristen Knight | Statement: [Hang Time, hasCastMember, Kristen Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Knight
Context triple: [Hang Time, hasCastMember, Kristen Knight]
  • A. Christina Knight
    Christina Knight is one of the children of Phil Knight, the co-founder of Nike and prominent American business magnate.
  • B. Caitlin Caine
    Caitlin Caine is the daughter of American rapper and actress Charly Baltimore.
  • C. Kirsten Potter
    Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
  • D. Riann Steele
    Riann Steele is a British actress known for her roles in television series such as Debris and Crazyhead, as well as appearances in film and theatre.
  • E. Elissa Knight
    Elissa Knight is an American voice actress best known for voicing the character EVE in Pixar's animated film "WALL-E."
  • 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: Kristen Knight
Triple: [Hang Time, hasCastMember, Kristen Knight]
Generated description
Kristen Knight is an actress best known for her role on the 1990s American teen sitcom "Hang Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kristen Knight
Target entity description: Kristen Knight is an actress best known for her role on the 1990s American teen sitcom "Hang Time."
  • A. Christina Knight
    Christina Knight is one of the children of Phil Knight, the co-founder of Nike and prominent American business magnate.
  • B. Caitlin Caine
    Caitlin Caine is the daughter of American rapper and actress Charly Baltimore.
  • C. Kirsten Potter
    Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
  • D. Riann Steele
    Riann Steele is a British actress known for her roles in television series such as Debris and Crazyhead, as well as appearances in film and theatre.
  • E. Elissa Knight
    Elissa Knight is an American voice actress best known for voicing the character EVE in Pixar's animated film "WALL-E."
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b52aae14819091de08630e7e1d1a completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff999210148190baa6dcb19be3a1d3 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9aa845348190907116612d2c87cd completed May 9, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b8833b88190967db29027b5f987 completed May 9, 2026, 8:39 p.m.
Created at: April 10, 2026, 4:49 a.m.