Triple
T20744963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basil Embry |
E510555
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lady Embry
Lady Embry is the wife of Sir Basil Embry, a prominent Royal Air Force commander during the Second World War.
|
E1449113
|
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 Embry | Statement: [Basil Embry, spouse, Lady Embry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Embry Context triple: [Basil Embry, spouse, Lady Embry]
-
A.
Lady Leila Primrose
Lady Leila Primrose was a British aristocrat and daughter of Archibald Primrose, Lord Dalmeny, from the prominent Primrose political and noble family.
-
B.
Alysanne
Alysanne is a Targaryen queen from George R. R. Martin’s A Song of Ice and Fire universe, renowned for her wisdom, compassion, and political influence during the reign of King Jaehaerys I.
-
C.
Lady Jaspers
Lady Jaspers is the name used for the women’s athletic teams representing Manhattan College in intercollegiate sports.
-
D.
Lady Lynn
Lady Lynn is a musician and vocalist known for performing with the Renaissance-inspired folk rock band Blackmore's Night.
-
E.
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.
- 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 Embry Triple: [Basil Embry, spouse, Lady Embry]
Generated description
Lady Embry is the wife of Sir Basil Embry, a prominent Royal Air Force commander during the Second World War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lady Embry Target entity description: Lady Embry is the wife of Sir Basil Embry, a prominent Royal Air Force commander during the Second World War.
-
A.
Lady Leila Primrose
Lady Leila Primrose was a British aristocrat and daughter of Archibald Primrose, Lord Dalmeny, from the prominent Primrose political and noble family.
-
B.
Alysanne
Alysanne is a Targaryen queen from George R. R. Martin’s A Song of Ice and Fire universe, renowned for her wisdom, compassion, and political influence during the reign of King Jaehaerys I.
-
C.
Lady Jaspers
Lady Jaspers is the name used for the women’s athletic teams representing Manhattan College in intercollegiate sports.
-
D.
Lady Lynn
Lady Lynn is a musician and vocalist known for performing with the Renaissance-inspired folk rock band Blackmore's Night.
-
E.
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.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c212b744819089bc1d47a020bd61 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8407180819092dde86d0377c6cc |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e93ff7dc8190b4668b965e90ab10 |
completed | May 16, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ea02a1688190bc7944f67067bcfa |
completed | May 16, 2026, 10:04 p.m. |
Created at: April 16, 2026, 12:33 p.m.