Triple
T3017763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lost Horizon |
E82377
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
High Lama
High Lama is the wise and enigmatic spiritual leader of the hidden utopian lamasery of Shangri-La in James Hilton’s novel "Lost Horizon."
|
E319631
|
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: High Lama | Statement: [Lost Horizon, character, High Lama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Lama Context triple: [Lost Horizon, character, High Lama]
-
A.
Ang Lhamu
Ang Lhamu was the wife of famed Sherpa mountaineer Tenzing Norgay, who helped make history with the first confirmed ascent of Mount Everest.
-
B.
Tamang
Tamang is a Sino-Tibetan language spoken primarily by the Tamang people of Nepal and the Nepali diaspora, including Nepali Americans.
-
C.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
D.
Gwarinpa
Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
-
E.
Tusita Heaven
Tusita Heaven is a celestial realm in Buddhist cosmology where future Buddhas, including Maitreya, dwell before their final rebirth and enlightenment.
- 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: High Lama Triple: [Lost Horizon, character, High Lama]
Generated description
High Lama is the wise and enigmatic spiritual leader of the hidden utopian lamasery of Shangri-La in James Hilton’s novel "Lost Horizon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: High Lama Target entity description: High Lama is the wise and enigmatic spiritual leader of the hidden utopian lamasery of Shangri-La in James Hilton’s novel "Lost Horizon."
-
A.
Ang Lhamu
Ang Lhamu was the wife of famed Sherpa mountaineer Tenzing Norgay, who helped make history with the first confirmed ascent of Mount Everest.
-
B.
Tamang
Tamang is a Sino-Tibetan language spoken primarily by the Tamang people of Nepal and the Nepali diaspora, including Nepali Americans.
-
C.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
D.
Gwarinpa
Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
-
E.
Tusita Heaven
Tusita Heaven is a celestial realm in Buddhist cosmology where future Buddhas, including Maitreya, dwell before their final rebirth and enlightenment.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a90ea64819080620e60bbd6aa24 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e71a9c08190848ecb3bcab18bb5 |
completed | March 11, 2026, 8:57 a.m. |
| NEDg | Description generation | batch_69b132319fd481908426670f319f56c5 |
completed | March 11, 2026, 9:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1d6729f848190a275638f074c1729 |
completed | March 11, 2026, 8:54 p.m. |
Created at: March 8, 2026, 3 p.m.