Triple
T28533142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 67th United States Congress |
E722093
|
entity |
| Predicate | workedWithPresident |
P12189
|
FINISHED |
| Object | Warren G. Harding |
—
|
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: Warren G. Harding | Statement: [67th United States Congress, workedWithPresident, Warren G. Harding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedWithPresident Context triple: [67th United States Congress, workedWithPresident, Warren G. Harding]
-
A.
associatedPresident
Indicates a relationship where a person, organization, event, or entity is linked or connected to a specific president in a relevant or significant way.
-
B.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
C.
presidentParticipation
Indicates that an entity participates in an event, activity, or role specifically in the capacity of a president.
-
D.
meetsDuringPresidencyOf
Indicates that one entity meets another while a specified person is serving as president.
-
E.
operatedDuringPresidencyOf
chosen
Indicates that an entity carried out its operations or activities during the time period when another entity held a presidential office.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 3:30 a.m.