Triple
T12652828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Tuskers |
E302205
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Tatum Bell
Tatum Bell is a former American football running back best known for his NFL career with the Denver Broncos and Detroit Lions.
|
E996599
|
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: Tatum Bell | Statement: [Florida Tuskers, notablePlayer, Tatum Bell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatum Bell Context triple: [Florida Tuskers, notablePlayer, Tatum Bell]
-
A.
Tatum
Tatum is a small town located in Lea County in southeastern New Mexico, known for its rural character and role in the region’s ranching and oil industries.
-
B.
Tatum
Tatum is the surname of American actor, producer, and dancer Channing Tatum, known for films such as "Magic Mike" and "21 Jump Street."
-
C.
Makayla Epps
Makayla Epps is an American basketball player best known for her standout collegiate career as a guard for the University of Kentucky women's basketball team.
-
D.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
-
E.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
- 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: Tatum Bell Triple: [Florida Tuskers, notablePlayer, Tatum Bell]
Generated description
Tatum Bell is a former American football running back best known for his NFL career with the Denver Broncos and Detroit Lions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tatum Bell Target entity description: Tatum Bell is a former American football running back best known for his NFL career with the Denver Broncos and Detroit Lions.
-
A.
Tatum
Tatum is a small town located in Lea County in southeastern New Mexico, known for its rural character and role in the region’s ranching and oil industries.
-
B.
Tatum
Tatum is the surname of American actor, producer, and dancer Channing Tatum, known for films such as "Magic Mike" and "21 Jump Street."
-
C.
Makayla Epps
Makayla Epps is an American basketball player best known for her standout collegiate career as a guard for the University of Kentucky women's basketball team.
-
D.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
-
E.
Makenna James
Makenna James is an American actress best known for her role on the television series "American Woman."
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.