Triple
T14321317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Flanagan |
E355094
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Winning Power
Winning Power is a political strategy book by Canadian conservative strategist Tom Flanagan that analyzes how modern political parties can gain and maintain electoral success.
|
E1093364
|
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: Winning Power | Statement: [Tom Flanagan, notableWork, Winning Power]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winning Power Context triple: [Tom Flanagan, notableWork, Winning Power]
-
A.
Powerball
Powerball is a multi-state American lottery game known for its large jackpots and nationwide participation.
-
B.
Powerballin'
Powerballin' is the second studio album by American rapper Chingy, known for its Southern hip hop sound and commercially successful singles.
-
C.
Mega Millions
Mega Millions is a multi-state American lottery game known for its large jackpots and nationwide participation.
-
D.
Power to Win
"Power to Win" is the official club song of the Port Adelaide Football Club in the Australian Football League.
-
E.
Fantasy 5
Fantasy 5 is a daily California lottery draw game in which players select a set of numbers for a chance to win cash prizes, including a rolling jackpot.
- 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: Winning Power Triple: [Tom Flanagan, notableWork, Winning Power]
Generated description
Winning Power is a political strategy book by Canadian conservative strategist Tom Flanagan that analyzes how modern political parties can gain and maintain electoral success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Winning Power Target entity description: Winning Power is a political strategy book by Canadian conservative strategist Tom Flanagan that analyzes how modern political parties can gain and maintain electoral success.
-
A.
Powerball
Powerball is a multi-state American lottery game known for its large jackpots and nationwide participation.
-
B.
Powerballin'
Powerballin' is the second studio album by American rapper Chingy, known for its Southern hip hop sound and commercially successful singles.
-
C.
Mega Millions
Mega Millions is a multi-state American lottery game known for its large jackpots and nationwide participation.
-
D.
Power to Win
"Power to Win" is the official club song of the Port Adelaide Football Club in the Australian Football League.
-
E.
Fantasy 5
Fantasy 5 is a daily California lottery draw game in which players select a set of numbers for a chance to win cash prizes, including a rolling jackpot.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883bf71c8190a9a092a025cf98f0 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468c4a7c8190951adb28e1d71365 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd478e6644819080692fbca8ec6c80 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4851528c81909855c0f8484c278e |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 10, 2026, 1:13 a.m.