Triple
T9095371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Meredith |
E218004
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Anno
Anno is an experimental classical-electronic composition by Anna Meredith that reimagines Vivaldi’s Four Seasons through contemporary instrumentation and genre-blending techniques.
|
E777822
|
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: Anno | Statement: [Anna Meredith, notableWork, Anno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anno Context triple: [Anna Meredith, notableWork, Anno]
-
A.
Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
-
B.
Toyooka
Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
-
C.
Ayan
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
-
D.
Antal
Antal is a Hungarian given name most notably borne by the renowned conductor and composer Antal Doráti.
-
E.
Adoian
Adoian is the original Armenian surname of the influential abstract expressionist painter Arshile Gorky.
- 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: Anno Triple: [Anna Meredith, notableWork, Anno]
Generated description
Anno is an experimental classical-electronic composition by Anna Meredith that reimagines Vivaldi’s Four Seasons through contemporary instrumentation and genre-blending techniques.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anno Target entity description: Anno is an experimental classical-electronic composition by Anna Meredith that reimagines Vivaldi’s Four Seasons through contemporary instrumentation and genre-blending techniques.
-
A.
Isamu
Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
-
B.
Toyooka
Toyooka is a city in northern Hyogo Prefecture, Japan, known for its stork conservation efforts, hot spring resort Kinosaki Onsen, and scenic coastal and rural landscapes.
-
C.
Ayan
Ayan is a 2009 Tamil-language action thriller film starring Suriya, known for its smuggling-centric plot and commercial success.
-
D.
Antal
Antal is a Hungarian given name most notably borne by the renowned conductor and composer Antal Doráti.
-
E.
Adoian
Adoian is the original Armenian surname of the influential abstract expressionist painter Arshile Gorky.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b650648190a8f59cee402d12aa |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0180f70b88190a2d3dc49f32f0c2e |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019652fe8819096cccb8cff431261 |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a290de881909482b7eb70bef0e3 |
completed | April 3, 2026, 7:51 p.m. |
Created at: March 30, 2026, 7:14 p.m.