Triple
T31784970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United States Senate elections |
E811303
|
entity |
| Predicate | thirdForce |
P184395
|
FINISHED |
| Object | Tea Party movement |
—
|
NE NERFINISHED |
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: Tea Party movement | Statement: [2010 United States Senate elections, thirdForce, Tea Party movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdForce Context triple: [2010 United States Senate elections, thirdForce, Tea Party movement]
-
A.
thirdFactor
Indicates that an entity serves as the third factor or element in a multi-factor relationship, typically complementing two other primary factors in a given context.
-
B.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
C.
primaryForce
Indicates that one entity serves as the main or dominant force acting upon, influencing, or driving another entity or process.
-
D.
thirdElement
Indicates that one entity is the third element in an ordered sequence or tuple associated with another entity.
-
E.
associatedForce
Indicates that there is a force linked or connected to an entity, typically representing the physical influence acting on or exerted by that entity.
- F. None of above. chosen
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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: April 30, 2026, 11:37 p.m.