Triple
T29417605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V. K. Sasikala |
E746065
|
entity |
| Predicate | attemptedOffice |
P167157
|
FINISHED |
| Object | Chief Minister of Tamil Nadu |
—
|
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: Chief Minister of Tamil Nadu | Statement: [V. K. Sasikala, attemptedOffice, Chief Minister of Tamil Nadu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptedOffice Context triple: [V. K. Sasikala, attemptedOffice, Chief Minister of Tamil Nadu]
-
A.
triedOfficeHolder
Indicates that a legal authority or court conducted a trial involving the office holder as a defendant or subject of judicial proceedings.
-
B.
officeSucceededBy
Indicates that one office or position is followed or replaced by another office or position in a succession sequence.
-
C.
usedOffice
Indicates that an entity made use of or occupied a particular office or workplace.
-
D.
officeWon
Indicates that a candidate successfully secured an elected office or position as the result of an election or selection process.
-
E.
afterOffice
Indicates that one event, action, or state occurs after the end of normal office or working hours.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a666e5c8190ae53ea01f2195ac1 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f663ff176c8190aaadb475f75daee4 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 28, 2026, 3:02 p.m.