Triple
T8966481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Robert Bugeaud |
E214147
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the given name of Thomas Robert Bugeaud, a 19th-century French military officer and colonial administrator known for his role in the conquest of Algeria.
|
E769473
|
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: [Thomas Robert Bugeaud, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Thomas Robert Bugeaud, givenName, Thomas]
-
A.
Thomas
Thomas is the given name of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
-
B.
Thomas
Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
-
C.
Thomas
Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer regarded as a pioneer and four-time Open Championship winner.
-
D.
Thomas
Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
-
E.
Thomas
Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
- 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: [Thomas Robert Bugeaud, givenName, Thomas]
Generated description
Thomas is the given name of Thomas Robert Bugeaud, a 19th-century French military officer and colonial administrator known for his role in the conquest of Algeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the given name of Thomas Robert Bugeaud, a 19th-century French military officer and colonial administrator known for his role in the conquest of Algeria.
-
A.
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.
-
B.
Thomas
Thomas is the given name of Thomas Pitt, 1st Baron Camelford, a British naval officer and aristocrat known for his volatile temperament in the late 18th and early 19th centuries.
-
C.
Thomas
Thomas is the given name of Thomas Bruce, 7th Earl of Elgin, the British nobleman known for acquiring the Parthenon Marbles from Greece.
-
D.
Thomas
Thomas is the given name of Confederate General "Stonewall" Jackson, a prominent military leader during the American Civil War.
-
E.
Thomas
Thomas is the given name of Thomas Paine, the influential 18th-century political philosopher and writer known for works like "Common Sense" and "The Rights of Man."
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67623818819096aee155a9b43e8f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc92e668c819086e694f92c04add6 |
completed | April 3, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69cfcadacf2c819098545bd08d5cd14e |
completed | April 3, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfcb36b75c8190925eaef1314f4c42 |
completed | April 3, 2026, 2:14 p.m. |
Created at: March 30, 2026, 7:01 p.m.