Triple
T2596750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurman Thomas |
E58249
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Thurman
Thurman is the given name of Thurman Thomas, a Hall of Fame former NFL running back best known for his career with the Buffalo Bills.
|
E281853
|
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: Thurman | Statement: [Thurman Thomas, givenName, Thurman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thurman Context triple: [Thurman Thomas, givenName, Thurman]
-
A.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
B.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
C.
Adnis Reeves
Adnis Reeves is the late grandfather of Rumi Carter and the father of rapper and entrepreneur Jay-Z.
-
D.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
E.
Terrence
Terrence is the first name of Pusha T, an American rapper, songwriter, and record executive known for his sharp lyricism and work as half of the duo Clipse.
- 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: Thurman Triple: [Thurman Thomas, givenName, Thurman]
Generated description
Thurman is the given name of Thurman Thomas, a Hall of Fame former NFL running back best known for his career with the Buffalo Bills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thurman Target entity description: Thurman is the given name of Thurman Thomas, a Hall of Fame former NFL running back best known for his career with the Buffalo Bills.
-
A.
Furthman
Furthman is a surname most notably associated with American screenwriter Jules Furthman, known for his work on classic Hollywood films.
-
B.
Lamon
Lamon is an archaeological site notable for inscriptions in the ancient Venetic language.
-
C.
Adnis Reeves
Adnis Reeves is the late grandfather of Rumi Carter and the father of rapper and entrepreneur Jay-Z.
-
D.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
E.
Terrence
Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42b3cd4819093b2cab78de1f66c |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83c798088190944e7d754aa9aa06 |
completed | March 10, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69af84a08ffc8190b113d07f3d322d0c |
completed | March 10, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85a052448190898ee1a2f8368122 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.