Triple
T1534826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm With Her |
E32526
|
entity |
| Predicate | associatedWithOfficeSought |
P19057
|
FINISHED |
| Object | President of the United States |
—
|
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: President of the United States | Statement: [I'm With Her, associatedWithOfficeSought, President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOfficeSought Context triple: [I'm With Her, associatedWithOfficeSought, President of the United States]
-
A.
associatedWithCandidate
Indicates that there is a connection or relationship between an entity and a specific candidate, without specifying the nature or strength of that connection.
-
B.
hasAssociatedOffice
chosen
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
C.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
D.
appliesToOfficeholder
Indicates that something (such as a rule, benefit, restriction, or obligation) is applicable specifically to a person holding a particular office or official position.
-
E.
refersToOfficeHolder
Indicates that one entity is being used to denote, mention, or point specifically to a person who holds a particular office or official position.
- 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_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. |
Created at: March 4, 2026, 7:26 p.m.