Triple

T25211779
Position Surface form Disambiguated ID Type / Status
Subject The Stepford Wives (1975 film) E631705 entity
Predicate mainCharacter P1183 FINISHED
Object Bobbie Markowe
Bobbie Markowe is a sharp, outspoken suburban housewife in the 1975 horror film "The Stepford Wives," who becomes a key figure in uncovering the town’s sinister transformation of women into docile, robotic spouses.
E1675234 NE FINISHED

How this triple was built (2 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: Bobbie Markowe | Statement: [The Stepford Wives (1975 film), mainCharacter, Bobbie Markowe]
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: Bobbie Markowe
Triple: [The Stepford Wives (1975 film), mainCharacter, Bobbie Markowe]
Generated description
Bobbie Markowe is a sharp, outspoken suburban housewife in the 1975 horror film "The Stepford Wives," who becomes a key figure in uncovering the town’s sinister transformation of women into docile, robotic spouses.

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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47b8918fc819080825ed92fb3a1a7 completed May 1, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075c92a6481909311c6cf5f0d0dfd completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076991b208190945d037fd9eef5f2 completed May 22, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_6a1077b79abc819099f92e2e2cc19c5d completed May 22, 2026, 3:35 p.m.
Created at: April 21, 2026, 12:58 p.m.