Triple
T12902572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Srinivasan |
E308645
|
entity |
| Predicate | tookOfficeAsJudgeOfDCCircuit |
P11962
|
FINISHED |
| Object | 2013-05-28 |
—
|
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: 2013-05-28 | Statement: [Sri Srinivasan, tookOfficeAsJudgeOfDCCircuit, 2013-05-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOfficeAsJudgeOfDCCircuit Context triple: [Sri Srinivasan, tookOfficeAsJudgeOfDCCircuit, 2013-05-28]
-
A.
succeededByAsChiefJudge
Indicates that one individual was followed in the role of chief judge by another individual, identifying the successor in that judicial position.
-
B.
appointedToSeventhCircuitBy
Indicates that one entity formally selected and installed another entity as a judge on the United States Court of Appeals for the Seventh Circuit.
-
C.
precededByAsChiefJudge
Indicates that one chief judge held the position immediately before another chief judge.
-
D.
swornInAsAssociateJusticeOn
Indicates that an individual formally assumed the role of Associate Justice on a specific date or occasion through an official swearing-in ceremony.
-
E.
heldJudicialPositionIn
chosen
Indicates that an entity served in an official judicial role or office within a specified jurisdiction or court.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.