Triple
T1534850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm With Her |
E32526
|
entity |
| Predicate | targetedOfficeElectionYear |
P29569
|
FINISHED |
| Object | 2016 |
—
|
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: 2016 | Statement: [I'm With Her, targetedOfficeElectionYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetedOfficeElectionYear Context triple: [I'm With Her, targetedOfficeElectionYear, 2016]
-
A.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
B.
electedOffice
Indicates that an entity holds or has held a particular office or position as a result of an election.
-
C.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
-
D.
electionNumber
Indicates the specific ordinal or identifying number assigned to a particular election within a series or system of elections.
-
E.
hasElectionsFor
Indicates that a governing body, jurisdiction, or organization conducts elections to select or appoint members to a specified office, role, or representative body.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a915f1694081908f87b509eda1309f |
completed | March 5, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:26 p.m.