Triple
T31784997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate elections |
E811303
|
entity |
| Predicate | notableIncumbentDefeated |
P125419
|
FINISHED |
| Object | Russ Feingold |
E983407
|
NE FINISHED |
How this triple was built (2 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: Russ Feingold | Statement: [2010 United States Senate elections, notableIncumbentDefeated, Russ Feingold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableIncumbentDefeated Context triple: [2010 United States Senate elections, notableIncumbentDefeated, Russ Feingold]
-
A.
incumbentLostPrimaryTo
Indicates that a current officeholder was defeated by a challenger in their party’s primary election.
-
B.
defeatedIncumbentParty
Indicates that a political party won an election by defeating the party that previously held power or office.
-
C.
defeatedPresidentialCandidate
Indicates that one entity won an election against and thereby caused the loss of another entity who was running for president.
-
D.
incumbentRetired
Indicates that the current holder of a position or office has left or stepped down from that role, typically through retirement.
-
E.
incumbentOutcome
chosen
Indicates the result or consequence experienced by the current officeholder or position-holder in a given event or context.
- F. None of above.
Provenance (4 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_69f348e544a48190ab6e700b05f6438c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2d9d5c91408190bc346b81942061b3 |
completed | June 13, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:37 p.m.