Triple
T266872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VPOTUS |
E5748
|
entity |
| Predicate | firstOfficeHolderStartDate |
P5162
|
FINISHED |
| Object | 1789 |
—
|
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: 1789 | Statement: [VPOTUS, firstOfficeHolderStartDate, 1789]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOfficeHolderStartDate Context triple: [VPOTUS, firstOfficeHolderStartDate, 1789]
-
A.
officeHolderStartTime
Indicates the date and time at which an individual begins holding a particular office or position.
-
B.
inauguralHolderStartDate
chosen
Indicates the date on which the first person or entity to hold a position, title, or role officially began their tenure.
-
C.
firstOfficeHolder
Indicates that the subject is the very first individual to hold a particular office or position associated with the object.
-
D.
designationDate
Indicates the date on which an entity is formally assigned, designated, or given a particular status or role.
-
E.
currentChairStartDate
Indicates the date on which the person’s current term as chair officially began.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.