Triple
T7077338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Steyn |
E164851
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lady Steyn
Lady Steyn is the wife of Lord Steyn, a prominent British Law Lord and jurist.
|
E640906
|
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: Lady Steyn | Statement: [Lord Steyn, spouse, Lady Steyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Steyn Context triple: [Lord Steyn, spouse, Lady Steyn]
-
A.
Rowena Morrill
Rowena Morrill was an influential American science fiction and fantasy artist renowned for her vivid, imaginative book and magazine cover illustrations.
-
B.
Lady Larken
Lady Larken is a romantic, high-strung noblewoman in the musical comedy "Once Upon a Mattress," whose secret pregnancy drives much of the plot’s urgency and humor.
-
C.
Ilona von Montagh
Ilona von Montagh was the wife of iconic horror film actor Bela Lugosi, known primarily for her marriage to the star of the original 1931 "Dracula" film.
-
D.
Sarah Hawkred
Sarah Hawkred was the wife of the influential 17th-century Puritan minister and New England clergyman John Cotton.
-
E.
Gwendolyn Knight
Gwendolyn Knight was an American painter and sculptor associated with the Harlem Renaissance, known for her expressive depictions of African American life and culture.
- 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: Lady Steyn Triple: [Lord Steyn, spouse, Lady Steyn]
Generated description
Lady Steyn is the wife of Lord Steyn, a prominent British Law Lord and jurist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Steyn Target entity description: Lady Steyn is the wife of Lord Steyn, a prominent British Law Lord and jurist.
-
A.
Rowena Morrill
Rowena Morrill was an influential American science fiction and fantasy artist renowned for her vivid, imaginative book and magazine cover illustrations.
-
B.
Lady Larken
Lady Larken is a romantic, high-strung noblewoman in the musical comedy "Once Upon a Mattress," whose secret pregnancy drives much of the plot’s urgency and humor.
-
C.
Ilona von Montagh
Ilona von Montagh was the wife of iconic horror film actor Bela Lugosi, known primarily for her marriage to the star of the original 1931 "Dracula" film.
-
D.
Sarah Hawkred
Sarah Hawkred was the wife of the influential 17th-century Puritan minister and New England clergyman John Cotton.
-
E.
Gwendolyn Knight
Gwendolyn Knight was an American painter and sculptor associated with the Harlem Renaissance, known for her expressive depictions of African American life and culture.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ee29288190a9a3fa7a6c713d8f |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7946dbf048190a6307fefeb1dd6a9 |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7955aefdc8190ab38d93097502ec1 |
completed | March 28, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795beba2c8190983f871c42f9b72e |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:40 p.m.