Triple

T17350208
Position Surface form Disambiguated ID Type / Status
Subject Will Success Spoil Rock Hunter? E421787 entity
Predicate featuresCharacter P626 FINISHED
Object Rita Marlowe — NE ONDG

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: Rita Marlowe | Statement: [Will Success Spoil Rock Hunter?, featuresCharacter, Rita Marlowe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rita Marlowe
Context triple: [Will Success Spoil Rock Hunter?, featuresCharacter, Rita Marlowe]
  • A. Jennifer Marlowe
    Jennifer Marlowe is a glamorous, intelligent, and unflappable receptionist character from the WKRP in Cincinnati television franchise, known for subverting "dumb blonde" stereotypes.
  • B. Rita Taggart
    Rita Taggart is an American actress known for her character roles in film and television since the 1970s.
  • C. Rita Blakemoor
    Rita Blakemoor is a character from Stephen King's post-apocalyptic novel "The Stand," known as a wealthy, somewhat naive New Yorker who becomes an early companion to musician Larry Underwood after a deadly plague.
  • D. Aileen Marlowe
    Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
  • E. Frieda Maloney
    Frieda Maloney is a fictional character appearing in Ira Levin’s thriller novel and its film adaptation "The Boys from Brazil," which centers on a Nazi conspiracy involving Josef Mengele.
  • 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: Rita Marlowe
Triple: [Will Success Spoil Rock Hunter?, featuresCharacter, Rita Marlowe]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rita Marlowe
Target entity description: Rita Marlowe is a fictional, Marilyn Monroe–like Hollywood sex symbol character from the satirical comedy "Will Success Spoil Rock Hunter?".
  • A. Jennifer Marlowe
    Jennifer Marlowe is a glamorous, intelligent, and unflappable receptionist character from the WKRP in Cincinnati television franchise, known for subverting "dumb blonde" stereotypes.
  • B. Rita Taggart
    Rita Taggart is an American actress known for her character roles in film and television since the 1970s.
  • C. Rita Blakemoor
    Rita Blakemoor is a character from Stephen King's post-apocalyptic novel "The Stand," known as a wealthy, somewhat naive New Yorker who becomes an early companion to musician Larry Underwood after a deadly plague.
  • D. Aileen Marlowe
    Aileen Marlowe was the wife of American film and television actor Hugh Marlowe.
  • E. Frieda Maloney
    Frieda Maloney is a fictional character appearing in Ira Levin’s thriller novel and its film adaptation "The Boys from Brazil," which centers on a Nazi conspiracy involving Josef Mengele.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195c365348190bc5ae9d39094e6f3 in_progress May 11, 2026, 8:39 a.m.
Created at: April 10, 2026, 5:44 a.m.