Triple
T28307945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary-General of the Malayan Communist Party |
E713917
|
entity |
| Predicate | followedByOfficeHolder |
P33240
|
FINISHED |
| Object | Chin Peng |
—
|
NE NERFINISHED |
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: Chin Peng | Statement: [Secretary-General of the Malayan Communist Party, followedByOfficeHolder, Chin Peng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByOfficeHolder Context triple: [Secretary-General of the Malayan Communist Party, followedByOfficeHolder, Chin Peng]
-
A.
precededByOfficeHolder
Indicates that one office holder directly held a position before another office holder in a sequence of occupants of the same office.
-
B.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
C.
followedByCabinet
Indicates that one entity (typically a government or administration) is immediately succeeded in office or function by a specific cabinet.
-
D.
namedAfterOfficeholder
Indicates that one entity is named in honor of, or derived from the name of, a person who has held a particular public or official office.
-
E.
precededByOfficeHolderTermEnd
Indicates that one office holder’s term began immediately after the end of another office holder’s term for the same position.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 27, 2026, 11:38 p.m.