Triple
T7691528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael D. Higgins |
E174256
|
entity |
| Predicate | electionOutcome2018PresidentialElection |
P78744
|
FINISHED |
| Object | re-elected |
—
|
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: re-elected | Statement: [Michael D. Higgins, electionOutcome2018PresidentialElection, re-elected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionOutcome2018PresidentialElection Context triple: [Michael D. Higgins, electionOutcome2018PresidentialElection, re-elected]
-
A.
electoralVoteOutcome
Indicates the result of an election in terms of how electoral votes are allocated or distributed among candidates or options.
-
B.
presidentialVote
Indicates that an entity casts or records a vote in a presidential election for a particular candidate or option.
-
C.
republicanPopularVoteShare
Indicates the proportion of total votes in an election that were cast for the Republican Party.
-
D.
statePresidentAfterElection
Indicates that an individual becomes the president of a state as a result of a specific election, serving in that role after the election has taken place.
-
E.
typicalPresidentialVote
Indicates that the vote cast aligns with the usual or characteristic voting pattern observed in presidential elections.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c706d0c1708190a3e74523997814b8 |
completed | March 27, 2026, 10:38 p.m. |
Created at: March 27, 2026, 4:02 p.m.