Triple
T17036381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maquette |
E413329
|
entity |
| Predicate | soundtrackComposer |
P32102
|
FINISHED |
| Object |
Sky Lu
Sky Lu is a composer known for creating the musical score for the video game *Maquette*.
|
E1245961
|
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: Sky Lu | Statement: [Maquette, soundtrackComposer, Sky Lu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sky Lu Context triple: [Maquette, soundtrackComposer, Sky Lu]
-
A.
Nanhutashan
Nanhutashan is one of the highest and most prominent mountain peaks in Taiwan, renowned for its alpine scenery and challenging hiking routes.
-
B.
Star Mountain
Star Mountain is the English translation of the Nahuatl name for Pico de Orizaba, the highest volcano in North America and a prominent peak in Mexico.
-
C.
Nan-Shan
Nan-Shan is the fictional steamship featured in Joseph Conrad’s short story “Typhoon,” on which the central storm-tossed voyage takes place.
-
D.
Kun-Lai Summit
Kun-Lai Summit is a high-altitude, mountainous region in World of Warcraft’s Pandaria continent, known for its snowy peaks, monasteries, and pandaren culture.
-
E.
Diecai Hill
Diecai Hill is a scenic karst hill and popular viewpoint in Guilin, China, known for its layered rock formations, pavilions, and panoramic views of the Li River and surrounding landscape.
- 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: Sky Lu Triple: [Maquette, soundtrackComposer, Sky Lu]
Generated description
Sky Lu is a composer known for creating the musical score for the video game *Maquette*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sky Lu Target entity description: Sky Lu is a composer known for creating the musical score for the video game *Maquette*.
-
A.
Nanhutashan
Nanhutashan is one of the highest and most prominent mountain peaks in Taiwan, renowned for its alpine scenery and challenging hiking routes.
-
B.
Star Mountain
Star Mountain is the English translation of the Nahuatl name for Pico de Orizaba, the highest volcano in North America and a prominent peak in Mexico.
-
C.
Nan-Shan
Nan-Shan is the fictional steamship featured in Joseph Conrad’s short story “Typhoon,” on which the central storm-tossed voyage takes place.
-
D.
Kun-Lai Summit
Kun-Lai Summit is a high-altitude, mountainous region in World of Warcraft’s Pandaria continent, known for its snowy peaks, monasteries, and pandaren culture.
-
E.
Diecai Hill
Diecai Hill is a scenic karst hill and popular viewpoint in Guilin, China, known for its layered rock formations, pavilions, and panoramic views of the Li River and surrounding landscape.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f26f50819085dfd0fbecd6394d |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c2203f0819091a5b4aa7c339585 |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011cc70cb08190b53b6a7402139f93 |
completed | May 11, 2026, 12:03 a.m. |
Created at: April 10, 2026, 5:33 a.m.