Triple

T12043083
Position Surface form Disambiguated ID Type / Status
Subject She Wants Me E286712 entity
Predicate hasCastMember P2308 FINISHED
Object Kristen Ruhlin
Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
E1021360 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 Ruhlin | Statement: [She Wants Me, hasCastMember, Kristen Ruhlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristen Ruhlin
Context triple: [She Wants Me, hasCastMember, Kristen Ruhlin]
  • A. Kristin Hudson
    Kristin Hudson is the wife of R&B singer Montel Jordan and has been involved with him in faith-based relationship and marriage ministry work.
  • B. Kristen Pfaff
    Kristen Pfaff was an American bassist and musician best known for playing in the alternative rock band Hole during the early 1990s grunge era.
  • C. Kristin Westphalen
    Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
  • D. Kirsten Fudeman
    Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
  • E. Kirstin Bauch
    Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
  • 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 Ruhlin
Triple: [She Wants Me, hasCastMember, Kristen Ruhlin]
Generated description
Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kristen Ruhlin
Target entity description: Kristen Ruhlin is an American actress and writer best known for her work in independent films and comedy projects.
  • A. Kristin Hudson
    Kristin Hudson is the wife of R&B singer Montel Jordan and has been involved with him in faith-based relationship and marriage ministry work.
  • B. Kristen Pfaff
    Kristen Pfaff was an American bassist and musician best known for playing in the alternative rock band Hole during the early 1990s grunge era.
  • C. Kristin Westphalen
    Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
  • D. Kirsten Fudeman
    Kirsten Fudeman is a linguist and scholar known for her collaborative work with Mark Aronoff in the field of morphology and the history of linguistic thought.
  • E. Kirstin Bauch
    Kirstin Bauch is a German politician who serves as the borough mayor of Charlottenburg-Wilmersdorf in Berlin.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2548a848190a3a72415a5e4d0fd completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e32bf5508190b4dc58971f8f64d0 completed May 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69f6e407dd988190b928b8931985a815 completed May 3, 2026, 5:58 a.m.
Created at: April 8, 2026, 9:47 p.m.