Triple
T18875824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lhakpa Tsamchoe |
E461681
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Pema Lhaki
Pema Lhaki is a character portrayed by actress Lhakpa Tsamchoe in the film "Seven Years in Tibet."
|
E461681
|
NE FINISHED |
How this triple was built (4 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: Pema Lhaki | Statement: [Lhakpa Tsamchoe, playedCharacter, Pema Lhaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pema Lhaki Context triple: [Lhakpa Tsamchoe, playedCharacter, Pema Lhaki]
-
A.
Gyazumpa Cho
Gyazumpa Cho is one of the high-altitude glacial lakes in Nepal’s Gokyo Lakes system in the Everest region of the Himalayas.
-
B.
Nyima Gyaltsen
Nyima Gyaltsen is a mountaineer known for leading the first successful ascent of Myanmar’s highest peak, Hkakabo Razi.
-
C.
Sonam Tsemo
Sonam Tsemo was a prominent 12th-century Tibetan Buddhist scholar and patriarch of the Sakya school, known for his influential philosophical writings and leadership in the Sakya tradition.
-
D.
Lhakpa Tsamchoe
Lhakpa Tsamchoe is a Tibetan actress best known internationally for her role in the film "Seven Years in Tibet."
-
E.
Ling Repa Pema Dorje
Ling Repa Pema Dorje was a 12th-century Tibetan yogi and poet renowned as an important early master in the Drukpa Kagyu lineage of Tibetan Buddhism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pema Lhaki Triple: [Lhakpa Tsamchoe, playedCharacter, Pema Lhaki]
Generated description
Pema Lhaki is a character portrayed by actress Lhakpa Tsamchoe in the film "Seven Years in Tibet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pema Lhaki Target entity description: Pema Lhaki is a character portrayed by actress Lhakpa Tsamchoe in the film "Seven Years in Tibet."
-
A.
Gyazumpa Cho
Gyazumpa Cho is one of the high-altitude glacial lakes in Nepal’s Gokyo Lakes system in the Everest region of the Himalayas.
-
B.
Nyima Gyaltsen
Nyima Gyaltsen is a mountaineer known for leading the first successful ascent of Myanmar’s highest peak, Hkakabo Razi.
-
C.
Sonam Tsemo
Sonam Tsemo was a prominent 12th-century Tibetan Buddhist scholar and patriarch of the Sakya school, known for his influential philosophical writings and leadership in the Sakya tradition.
-
D.
Lhakpa Tsamchoe
chosen
Lhakpa Tsamchoe is a Tibetan actress best known internationally for her role in the film "Seven Years in Tibet."
-
E.
Ling Repa Pema Dorje
Ling Repa Pema Dorje was a 12th-century Tibetan yogi and poet renowned as an important early master in the Drukpa Kagyu lineage of Tibetan Buddhism.
- F. None of above.
Provenance (5 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3ce07788190a179705eb1b6c824 |
completed | April 20, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582acb67c819080c5553167a22db0 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05887693d081908fa60534c3c36144 |
completed | May 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05891f4a248190a5527a939fcb16da |
completed | May 14, 2026, 8:34 a.m. |
Created at: April 10, 2026, 11:57 a.m.