Triple
T20565545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarekat Islam |
E504956
|
entity |
| Predicate | leader |
P981
|
FINISHED |
| Object | Semaun |
—
|
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: Semaun | Statement: [Sarekat Islam, leader, Semaun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semaun Context triple: [Sarekat Islam, leader, Semaun]
-
A.
Semaun
chosen
Semaun was an Indonesian communist leader and trade union organizer who became the first chairman of the Indonesian Communist Party (PKI).
-
B.
Erwan
Erwan is a Breton given name, closely related to the name Erwin, commonly used in Brittany and French-speaking regions.
-
C.
Sylvain
Sylvain is a masculine given name of French origin commonly used in Francophone countries.
-
D.
Tanguy
Tanguy is a French surname most notably associated with Yves Tanguy, a prominent 20th-century Surrealist painter.
-
E.
Sambon
Sambon was a zoologist and parasitologist known for his taxonomic work on parasitic organisms, including naming the human blood fluke Schistosoma mansoni.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a228948190b47a3a61f239e00d |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.