Triple
T9051987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon Khmer |
E216904
|
entity |
| Predicate | hasWritingSystem |
P454
|
FINISHED |
| Object | Mon script |
E357650
|
NE 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: Mon script | Statement: [Mon Khmer, hasWritingSystem, Mon script]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mon script Context triple: [Mon Khmer, hasWritingSystem, Mon script]
-
A.
Mon script
chosen
Mon script is an abugida writing system historically used by the Mon people of Southeast Asia and influential in the development of several other regional scripts, including Burmese.
-
B.
Mon cher sujet
Mon cher sujet is a 1988 French-Swiss drama film directed by Anne-Marie Miéville that explores the lives and artistic struggles of three generations of women.
-
C.
Mon mec à moi
"Mon mec à moi" is a popular French chanson-style pop song by Patricia Kaas that helped establish her as a major star in the late 1980s.
-
D.
Mon homme
Mon homme is a French film known in English as "My Man."
-
E.
The Movie in My Mind
"The Movie in My Mind" is a poignant ballad from the musical Miss Saigon that expresses a bar girl's dreams of escape and a better life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a700de48190aa9f61d850e01cbd |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc90bf88190bbcdab07ca93f569 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.