Triple
T5407883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Thomas Drew |
E120937
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the given name of Sir Thomas Drew, an Irish architect known for his influential ecclesiastical and public building designs in the late 19th and early 20th centuries.
|
E519216
|
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: Thomas | Statement: [Sir Thomas Drew, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Sir Thomas Drew, givenName, Thomas]
-
A.
Thomas
Thomas is the middle name of Edward Thomas Wailes, an American diplomat.
-
B.
Thomas
Thomas is the given first name of the renowned American playwright Tennessee Williams, known for works such as "A Streetcar Named Desire" and "Cat on a Hot Tin Roof."
-
C.
Thomas
Thomas is the middle name of William T. Sampson, a notable U.S. Navy admiral from the Spanish–American War era.
-
D.
Thomas
Thomas is the given first name of American astronaut Ken Mattingly, known for his role in the Apollo and Space Shuttle programs.
-
E.
Thomas
Thomas is the given name of Sir Thomas Blamey, an Australian field marshal and senior military commander during World War II.
- 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: Thomas Triple: [Sir Thomas Drew, givenName, Thomas]
Generated description
Thomas is the given name of Sir Thomas Drew, an Irish architect known for his influential ecclesiastical and public building designs in the late 19th and early 20th centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the given name of Sir Thomas Drew, an Irish architect known for his influential ecclesiastical and public building designs in the late 19th and early 20th centuries.
-
A.
Thomas
Thomas is the given name of W. T. Cosgrave, the first President of the Executive Council of the Irish Free State and a key figure in early 20th-century Irish politics.
-
B.
Thomas
Thomas is the given name of Thomas Cochrane, 10th Earl of Dundonald, a renowned British naval officer and radical politician of the 19th century.
-
C.
Thomas
Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
-
D.
Thomas
Thomas is the given name of Tony Ryan, the Irish businessman best known as the co-founder of Ryanair.
-
E.
Thomas
Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3a96fba481909659b13425951068 |
completed | March 22, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69bf3bb122c881909556522c986d6783 |
completed | March 22, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3c1ad4d8819093aeb94f62eb1086 |
completed | March 22, 2026, 12:47 a.m. |
Created at: March 20, 2026, 2:05 p.m.