Triple
T11019251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Images pour orchestre |
E260441
|
entity |
| Predicate | catalogueNumber |
P5531
|
FINISHED |
| Object |
L. 122
L. 122 is the catalogue number assigned to Claude Debussy’s orchestral work "Images pour orchestre."
|
E899647
|
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: L. 122 | Statement: [Images pour orchestre, catalogueNumber, L. 122]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L. 122 Context triple: [Images pour orchestre, catalogueNumber, L. 122]
-
A.
L. 109
L. 109 is the catalogue number assigned to Claude Debussy’s orchestral work "La Mer," one of his most celebrated impressionistic compositions.
-
B.
Line 12
Line 12 is a line of the Moscow Metro system that serves stations including Bitsevsky Park.
-
C.
Line 12
Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
-
D.
Line 12
Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
-
E.
Line 12
Line 12 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
- 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: L. 122 Triple: [Images pour orchestre, catalogueNumber, L. 122]
Generated description
L. 122 is the catalogue number assigned to Claude Debussy’s orchestral work "Images pour orchestre."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L. 122 Target entity description: L. 122 is the catalogue number assigned to Claude Debussy’s orchestral work "Images pour orchestre."
-
A.
L. 109
L. 109 is the catalogue number assigned to Claude Debussy’s orchestral work "La Mer," one of his most celebrated impressionistic compositions.
-
B.
Line 12
Line 12 is a planned or lesser-known route within the Barcelona Metro network intended to expand urban rail connectivity in the metropolitan area.
-
C.
Line 12
Line 12 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key urban districts with high-capacity rail transport.
-
D.
Line 12
Line 12 is a line of the Moscow Metro system that serves stations including Bitsevsky Park.
-
E.
Line 12
Line 12 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
- 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_69d797a9e8788190a0f45b52bad1bfb5 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374e550508190aa3779191196f329 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.