Triple
T34180503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan Chuan-Jin |
E876799
|
entity |
| Predicate | enteredPoliticsIn |
P181284
|
FINISHED |
| Object | 2011 |
—
|
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: 2011 | Statement: [Tan Chuan-Jin, enteredPoliticsIn, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredPoliticsIn Context triple: [Tan Chuan-Jin, enteredPoliticsIn, 2011]
-
A.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
B.
enteredGovernment
Indicates that an entity assumed a role or position within a governmental body or institution.
-
C.
memberOfPoliticalInstitution
Indicates that an entity belongs to, serves in, or holds membership within a specific political body or institution.
-
D.
re-emergedInPolitics
Indicates that an individual has returned to active political involvement after a period of absence or inactivity.
-
E.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: May 1, 2026, 1:54 a.m.