Triple
T17241108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy McDonald |
E418499
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the formal given name of Tommy McDonald, an American football Hall of Fame wide receiver.
|
E1259937
|
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: [Tommy McDonald, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Tommy McDonald, givenName, Thomas]
-
A.
Thomas
Thomas Francis, Prince of Carignano, was a 17th-century Italian nobleman and military commander of the House of Savoy who played a significant role in the Thirty Years' War and related European conflicts.
-
B.
Thomas
Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
-
C.
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.
-
D.
Thomas
Thomas is the given name of British entertainer Tommy Steele, a pioneering rock and roll singer and actor.
-
E.
Thomas
Thomas is a character in Simon Gray's stage play "Quartermaine's Terms," which explores the personal and professional lives of teachers at a 1960s Cambridge language school.
- 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: [Tommy McDonald, givenName, Thomas]
Generated description
Thomas is the formal given name of Tommy McDonald, an American football Hall of Fame wide receiver.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the formal given name of Tommy McDonald, an American football Hall of Fame wide receiver.
-
A.
Thomas
Thomas is the full given name of Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in American football history.
-
B.
Thomas
Thomas is the given name of Tom Brookshier, an American football player and sportscaster.
-
C.
Thomas
Thomas is the given first name of Tom Harmon, the famed American football player and sportscaster.
-
D.
Thomas
Thomas is the full given name of former NFL quarterback Tommy Maddox, who notably played for the Pittsburgh Steelers and won the 2001 XFL championship.
-
E.
Thomas
Thomas is the given first name of Tom Flores, the former American football quarterback and Super Bowl–winning head coach.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e203ec88190a21f38cbb18a14fa |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01793efa288190b63f641381566bb9 |
completed | May 11, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_6a017a7c7f408190a3123584e76c228b |
completed | May 11, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017b0da1048190ad37b1b241d110f4 |
completed | May 11, 2026, 6:45 a.m. |
Created at: April 10, 2026, 5:39 a.m.