Triple
T38667501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 Seattle mayoral election |
E940491
|
entity |
| Predicate | generalElectionRunnerUp |
P1227
|
FINISHED |
| Object | Joe Mallahan |
—
|
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: Joe Mallahan | Statement: [2009 Seattle mayoral election, generalElectionRunnerUp, Joe Mallahan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalElectionRunnerUp Context triple: [2009 Seattle mayoral election, generalElectionRunnerUp, Joe Mallahan]
-
A.
generalElectionCandidate
Indicates that a person is a candidate running for office in a general election.
-
B.
subsequentGeneralElectionOpponent
Indicates that one entity was the opponent of the other in the next general election that followed a given reference point or event.
-
C.
congressionalVoteRunnerUp
Indicates that an entity finished in second place (runner-up) in a specific congressional vote or election.
-
D.
popularVoteRunnerUp
chosen
Indicates that one entity is the candidate who received the second-highest number of votes in a popular vote for the other entity’s election or contest.
-
E.
electoralVoteRunnerUp
Indicates that the subject is the candidate who received the second-highest number of electoral votes in a given election.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:33 p.m.