Triple
T9750443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Osborne |
E236426
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thomas
Thomas is the full given name of Tom Osborne, the renowned former University of Nebraska football coach and U.S. congressman.
|
E819454
|
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: [Tom Osborne, givenName, Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Context triple: [Tom Osborne, givenName, Thomas]
-
A.
John
John is the husband of Martha Rainsborough.
-
B.
John
John is the given name of Colonel John Quincy, an American military officer and politician after whom John Quincy Adams was named.
-
C.
John
John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
-
D.
John
John is the given name of John Vlissides, a software engineer best known as one of the “Gang of Four” authors of the influential book *Design Patterns: Elements of Reusable Object-Oriented Software*.
-
E.
John
John I, Count Palatine of Simmern, was a 15th-century German nobleman of the House of Wittelsbach who ruled the Palatinate-Simmern region within the Holy Roman Empire.
- 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: [Tom Osborne, givenName, Thomas]
Generated description
Thomas is the full given name of Tom Osborne, the renowned former University of Nebraska football coach and U.S. congressman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Target entity description: Thomas is the full given name of Tom Osborne, the renowned former University of Nebraska football coach and U.S. congressman.
-
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 first name of American football coach and politician Tommy Tuberville.
-
C.
Thomas
Thomas is the given first name of Tom Flores, the former American football quarterback and Super Bowl–winning head coach.
-
D.
Thomas
Thomas is the formal given name of Tom Vilsack, an American politician who has served multiple terms as U.S. Secretary of Agriculture.
-
E.
Thomas
Thomas is the formal given name of Tom Coughlin, the American football coach best known for leading the New York Giants to two Super Bowl victories.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f6bb4088190ab8d52ef61d24bee |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcc45bfc81909b86d10598d9bd39 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1bd42e3888190b13970710a9620d7 |
completed | April 5, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bdd5ec94819083edd1cb2c9598a0 |
completed | April 5, 2026, 1:41 a.m. |
Created at: March 30, 2026, 8:24 p.m.