Triple
T16909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supreme Court of the United States |
E336
|
entity |
| Predicate | currentChiefJudgeStartDate |
P288
|
FINISHED |
| Object | 2005-09-29 |
—
|
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: 2005-09-29 | Statement: [Supreme Court of the United States, currentChiefJudgeStartDate, 2005-09-29]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentChiefJudgeStartDate Context triple: [Supreme Court of the United States, currentChiefJudgeStartDate, 2005-09-29]
-
A.
firstInOfficeTo
Indicates that one entity was the earliest or first to hold a particular office or position in relation to another entity or context.
-
B.
startDate
chosen
Indicates the point in time when an event, state, or relationship begins.
-
C.
stateCapitalSince
Indicates that one location has served as the official capital of a state continuously from a specified starting time.
-
D.
primeMinisterTermStart
Indicates the date on which an individual officially begins serving as prime minister.
-
E.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fec1fe8819080da6f2c745dc8fd |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.