Triple
T32933654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord President of the Federal Court of Malaysia |
E842466
|
entity |
| Predicate | predecessorOfOffice |
P72167
|
FINISHED |
| Object | Chief Justice of Malaysia |
—
|
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 Justice of Malaysia | Statement: [Lord President of the Federal Court of Malaysia, predecessorOfOffice, Chief Justice of Malaysia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorOfOffice Context triple: [Lord President of the Federal Court of Malaysia, predecessorOfOffice, Chief Justice of Malaysia]
-
A.
predecessorInOffice
Indicates that one officeholder directly held a particular position before another officeholder in an official succession.
-
B.
previousOffice
chosen
Indicates that one office or position was held immediately before another in a sequence of offices.
-
C.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
D.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
E.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 1:20 a.m.