Triple
T22760169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Williams |
E562962
|
entity |
| Predicate | numberOfWhiteHouseAdministrationsPerformedFor |
P149624
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Roger Williams, numberOfWhiteHouseAdministrationsPerformedFor, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWhiteHouseAdministrationsPerformedFor Context triple: [Roger Williams, numberOfWhiteHouseAdministrationsPerformedFor, 9]
-
A.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
B.
periodOfUSAdministration
Indicates the time span during which a particular U.S. administration was in power or held governing authority.
-
C.
operatedDuringPresidencyOf
Indicates that an entity carried out its operations or activities during the time period when another entity held a presidential office.
-
D.
numberOfPresidents
Indicates the total count of individuals who have held the position of president for a given entity or within a specified context.
-
E.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7b4fe88190b1da25b78f046d13 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:26 p.m.