Triple
T22191305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Boxer |
E548430
|
entity |
| Predicate | incumbentInElection |
P6364
|
FINISHED |
| Object | 2004 United States Senate election in California |
—
|
LITERAL 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: 2004 United States Senate election in California | Statement: [Barbara Boxer, incumbentInElection, 2004 United States Senate election in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentInElection Context triple: [Barbara Boxer, incumbentInElection, 2004 United States Senate election in California]
-
A.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
B.
incumbentOutcome
Indicates the result or consequence experienced by the current officeholder or position-holder in a given event or context.
-
C.
incumbentBeforeElection
chosen
Indicates that the subject was already holding the relevant office or position prior to the specified election.
-
D.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
-
E.
incumbentPosition
Indicates that a person currently holds or occupies a specific position, office, or role.
- F. None of above.
Provenance (3 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae3e8148190a23decd2dfe24e28 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.