Triple
T2682570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pat Summitt |
E57405
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sum It Up
Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
|
E287381
|
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: Sum It Up | Statement: [Pat Summitt, notableWork, Sum It Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sum It Up Context triple: [Pat Summitt, notableWork, Sum It Up]
-
A.
Values of the Game
Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
-
B.
Numbers on the Boards
"Numbers on the Boards" is a minimalist, hard-hitting hip-hop track by Pusha T known for its stark production and boastful, technically sharp lyricism.
-
C.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
-
D.
Tally
Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
-
E.
The Big Operator
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
- 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: Sum It Up Triple: [Pat Summitt, notableWork, Sum It Up]
Generated description
Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sum It Up Target entity description: Sum It Up is the memoir of legendary basketball coach Pat Summitt, chronicling her life, career, and impact on women's sports.
-
A.
Values of the Game
Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
-
B.
Numbers on the Boards
"Numbers on the Boards" is a minimalist, hard-hitting hip-hop track by Pusha T known for its stark production and boastful, technically sharp lyricism.
-
C.
The Gamester
The Gamester is a Caroline-era tragicomedy play by English dramatist James Shirley, centered on themes of gambling, honor, and social intrigue.
-
D.
Tally
Tally is a common nickname for Tallahassee, the capital city of the U.S. state of Florida.
-
E.
The Big Operator
The Big Operator is a 1959 American crime drama film starring Mickey Rooney as a corrupt union boss, notable for featuring Maila Nurmi in a supporting role.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d602848190b638e417e710a555 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa06c7a908190ae3463bf3e204fa6 |
completed | March 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69afa1196aac81909b25557dff5acf5e |
completed | March 10, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1a7d9b48190a8b14a7d209e1f26 |
completed | March 10, 2026, 4:44 a.m. |
Created at: March 6, 2026, 9:54 p.m.