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.