Triple
T11008437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibetan Empire |
E260180
|
entity |
| Predicate | ruler |
P403
|
FINISHED |
| Object |
Langdarma
Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
|
E899353
|
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: Langdarma | Statement: [Tibetan Empire, ruler, Langdarma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langdarma Context triple: [Tibetan Empire, ruler, Langdarma]
-
A.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
B.
Mahates
Mahates is a municipality and town in northern Colombia known for its Afro-Colombian cultural heritage and historical significance in the Bolívar Department.
-
C.
Daymian
Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
-
D.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
E.
Dorohusk
Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
- 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: Langdarma Triple: [Tibetan Empire, ruler, Langdarma]
Generated description
Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langdarma Target entity description: Langdarma was a 9th-century Tibetan king known for his persecution of Buddhism and for presiding over the collapse of the Tibetan Empire.
-
A.
Thoosa
Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
-
B.
Mahates
Mahates is a municipality and town in northern Colombia known for its Afro-Colombian cultural heritage and historical significance in the Bolívar Department.
-
C.
Daymian
Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
-
D.
Akurgal
Akurgal is a Turkish surname most notably associated with the prominent archaeologist Ekrem Akurgal.
-
E.
Dorohusk
Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37498b9fc8190860acede4f49ea4a |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.