Triple
T7158515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Biden |
E166876
|
entity |
| Predicate | inOfficeAsPresidentFrom |
P8942
|
FINISHED |
| Object | 2021-01-20 |
—
|
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: 2021-01-20 | Statement: [Joe Biden, inOfficeAsPresidentFrom, 2021-01-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inOfficeAsPresidentFrom Context triple: [Joe Biden, inOfficeAsPresidentFrom, 2021-01-20]
-
A.
servedAsPresidentDuring
Indicates that a person held the office of president for the duration of a specified time period or event.
-
B.
onlyPresident
Indicates that the subject is the sole individual holding the role of president within a given context or organization.
-
C.
precededByAsPresident
Indicates that one individual held the office of president immediately before another individual.
-
D.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
E.
presidentSince
chosen
Indicates that one entity has held the office of president of another entity starting from a specified point in time.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8109a64819087e132d6d483c07d |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.