Triple
T638094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Illinois |
E16668
|
entity |
| Predicate | firstHolderStartTime |
P7037
|
FINISHED |
| Object | 1818 |
—
|
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: 1818 | Statement: [Governor of Illinois, firstHolderStartTime, 1818]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstHolderStartTime Context triple: [Governor of Illinois, firstHolderStartTime, 1818]
-
A.
currentHolderStart
chosen
Indicates the point in time when an entity’s current holder or possessor first began holding it.
-
B.
firstCreatedAt
Indicates the time or date at which an entity was initially created for the first time.
-
C.
firstRaisedAt
Indicates the initial time or context at which an issue, topic, or matter was first brought up or introduced.
-
D.
hasFirstHolder
Indicates that an entity is associated with the earliest or original holder (e.g., owner, position-bearer, or title-holder) of something.
-
E.
lastHolder
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.