Triple
T161973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Atwood |
E3306
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Robber Bride
The Robber Bride is a darkly comic, feminist novel by Margaret Atwood that reimagines a Grimm fairy tale through the intertwined lives of three women and their destructive, enigmatic friend.
|
E20896
|
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: The Robber Bride | Statement: [Margaret Atwood, notableWork, The Robber Bride]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Robber Bride Context triple: [Margaret Atwood, notableWork, The Robber Bride]
-
A.
The Jewish Bride
The Jewish Bride is a renowned 17th-century oil painting by Rembrandt, celebrated for its intimate portrayal of a couple and its rich, expressive use of color and light.
-
B.
The Wife
"The Wife" is a sentimental short story by Washington Irving that explores themes of love, loyalty, and devotion within marriage.
-
C.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
D.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
-
E.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
- 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: The Robber Bride Triple: [Margaret Atwood, notableWork, The Robber Bride]
Generated description
The Robber Bride is a darkly comic, feminist novel by Margaret Atwood that reimagines a Grimm fairy tale through the intertwined lives of three women and their destructive, enigmatic friend.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Robber Bride Target entity description: The Robber Bride is a darkly comic, feminist novel by Margaret Atwood that reimagines a Grimm fairy tale through the intertwined lives of three women and their destructive, enigmatic friend.
-
A.
The Jewish Bride
The Jewish Bride is a renowned 17th-century oil painting by Rembrandt, celebrated for its intimate portrayal of a couple and its rich, expressive use of color and light.
-
B.
The Wife
"The Wife" is a sentimental short story by Washington Irving that explores themes of love, loyalty, and devotion within marriage.
-
C.
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
D.
Shirley
Shirley is an English surname of Old English origin that has also become a common given name.
-
E.
Shirley
Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2585877648190a2ec320182a69343 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2e0f6b8908190b4eec4a34e9447db |
completed | Feb. 28, 2026, 12:35 p.m. |
| NEDg | Description generation | batch_69a2e159e06c81908ff90fa780904507 |
completed | Feb. 28, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2e211746c8190807cacec282883f5 |
completed | Feb. 28, 2026, 12:39 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.