Triple
T5829657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Santos |
E129312
|
entity |
| Predicate | officeAssumedAsPresident |
P8144
|
FINISHED |
| Object | January 20, 2007 (fictional timeline) |
—
|
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: January 20, 2007 (fictional timeline) | Statement: [Matt Santos, officeAssumedAsPresident, January 20, 2007 (fictional timeline)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeAssumedAsPresident Context triple: [Matt Santos, officeAssumedAsPresident, January 20, 2007 (fictional timeline)]
-
A.
officeStartForPresident
chosen
Indicates the date or point in time when a person begins serving in the role of president.
-
B.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
C.
assumedOfficeAsInterimPresident
Indicates that an individual temporarily took on the role and responsibilities of president in an interim capacity.
-
D.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
E.
presidency
Indicates that an entity holds or relates to the office, role, or term of serving as president over a state, organization, or institution.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:54 p.m.