Triple
T4626113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Years in Tibet |
E101100
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Danny Denzongpa
Danny Denzongpa is an Indian actor and singer known for his versatile character roles in Hindi cinema and appearances in international films.
|
E456423
|
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: Danny Denzongpa | Statement: [Seven Years in Tibet, starring, Danny Denzongpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Denzongpa Context triple: [Seven Years in Tibet, starring, Danny Denzongpa]
-
A.
Darren Chukitus
Darren Chukitus is a video game industry figure best known as a founder of the game development studio Treyarch.
-
B.
Pene Delmage
Pene Delmage is a British travel agent and the widow of acclaimed English actor Albert Finney.
-
C.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
D.
Roman Bohnen
Roman Bohnen was an American character actor active in the 1930s and 1940s, known for his supporting roles in both Hollywood films and on the stage.
-
E.
Brice Mack
Brice Mack was an American animator, storyboard artist, and background painter best known for his work at Walt Disney Studios during the Golden Age of animation.
- 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: Danny Denzongpa Triple: [Seven Years in Tibet, starring, Danny Denzongpa]
Generated description
Danny Denzongpa is an Indian actor and singer known for his versatile character roles in Hindi cinema and appearances in international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Denzongpa Target entity description: Danny Denzongpa is an Indian actor and singer known for his versatile character roles in Hindi cinema and appearances in international films.
-
A.
Darren Chukitus
Darren Chukitus is a video game industry figure best known as a founder of the game development studio Treyarch.
-
B.
Pene Delmage
Pene Delmage is a British travel agent and the widow of acclaimed English actor Albert Finney.
-
C.
Andrew Sarlo
Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
-
D.
Roman Bohnen
Roman Bohnen was an American character actor active in the 1930s and 1940s, known for his supporting roles in both Hollywood films and on the stage.
-
E.
Brice Mack
Brice Mack was an American animator, storyboard artist, and background painter best known for his work at Walt Disney Studios during the Golden Age of animation.
- F. None of above. chosen
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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaab30508190881828adab92ba22 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.