Triple
T5293985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kundun |
E119809
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Tenzin Gyatso |
E37439
|
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: Tenzin Gyatso | Statement: [Kundun, portrays, Tenzin Gyatso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenzin Gyatso Context triple: [Kundun, portrays, Tenzin Gyatso]
-
A.
Dalai Lama
chosen
The Dalai Lama is the spiritual leader of Tibetan Buddhism and a globally recognized advocate for peace, nonviolence, and human rights.
-
B.
Druk Gyalpo
Druk Gyalpo is the official title of the hereditary monarch and head of state of the Kingdom of Bhutan.
-
C.
Gang Rinpoche
Gang Rinpoche is the Tibetan name for Mount Kailash, a sacred peak in the Himalayas revered in Hinduism, Buddhism, Jainism, and Bon.
-
D.
Lhakpa Tsamchoe
Lhakpa Tsamchoe is a Tibetan actress best known internationally for her role in the film "Seven Years in Tibet."
-
E.
Nyima Gyaltsen
Nyima Gyaltsen is a mountaineer known for leading the first successful ascent of Myanmar’s highest peak, Hkakabo Razi.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84f034f081908027a43120b6e122 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1880bec88190a5b1ca453c783444 |
completed | March 21, 2026, 10:15 p.m. |
Created at: March 20, 2026, 1:52 p.m.