Triple
T7296883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Bingham of Cornhill |
E164546
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas, known formally as Lord Bingham of Cornhill, was a highly respected British judge who served as Senior Law Lord and is often regarded as one of the most influential jurists in modern UK legal history.
|
E655802
|
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: [Lord Bingham of Cornhill, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Lord Bingham of Cornhill, 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: [Lord Bingham of Cornhill, givenName, Thomas]
Generated description
Thomas, known formally as Lord Bingham of Cornhill, was a highly respected British judge who served as Senior Law Lord and is often regarded as one of the most influential jurists in modern UK legal history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas, known formally as Lord Bingham of Cornhill, was a highly respected British judge who served as Senior Law Lord and is often regarded as one of the most influential jurists in modern UK legal history.
-
A.
Thomas
Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
-
B.
Thomas
Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
-
C.
Thomas
Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
-
D.
Thomas
Thomas was the given name of Thomas Stanley, 1st Earl of Derby, a prominent English nobleman and political figure during the late 15th century.
-
E.
Thomas
Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8e48d48190ada4d507f3b61bc4 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e510cb488190abde1c66e2fa4db4 |
completed | March 28, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_69c7e61a517081909fd5dedb8b9c58f0 |
completed | March 28, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e79dabc08190b486660def5d6c9e |
completed | March 28, 2026, 2:37 p.m. |
Created at: March 27, 2026, 3 p.m.