Triple
T21104527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Opera Group |
E520001
|
entity |
| Predicate | employed |
P7
|
FINISHED |
| Object |
Joan Cross
Joan Cross was a prominent English operatic soprano and opera company director, closely associated with the works of Benjamin Britten and the post-war British opera scene.
|
E1466972
|
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: Joan Cross | Statement: [English Opera Group, employed, Joan Cross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Cross Context triple: [English Opera Group, employed, Joan Cross]
-
A.
Joan Tremayne
Joan Tremayne was the wife of British-American radio, film, and television actor Les Tremayne.
-
B.
Joan Hudson
Joan Hudson is a character in the Columbo universe, appearing in the pilot episode "Prescription: Murder" as a key figure in the central murder plot.
-
C.
Joan Turner
Joan Turner is an actress known for her role in the classic "Doctor Who" serial "The Evil of the Daleks."
-
D.
Joan Gardner
Joan Gardner was an American voice actress known for her work in animated films and television specials during the mid-20th century.
-
E.
Nadine Cross
Nadine Cross is a central, morally conflicted character in Stephen King’s post-apocalyptic novel "The Stand," whose fate becomes entwined with both good and evil forces.
- 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: Joan Cross Triple: [English Opera Group, employed, Joan Cross]
Generated description
Joan Cross was a prominent English operatic soprano and opera company director, closely associated with the works of Benjamin Britten and the post-war British opera scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Cross Target entity description: Joan Cross was a prominent English operatic soprano and opera company director, closely associated with the works of Benjamin Britten and the post-war British opera scene.
-
A.
Joan Tremayne
Joan Tremayne was the wife of British-American radio, film, and television actor Les Tremayne.
-
B.
Joan Hudson
Joan Hudson is a character in the Columbo universe, appearing in the pilot episode "Prescription: Murder" as a key figure in the central murder plot.
-
C.
Joan Turner
Joan Turner is an actress known for her role in the classic "Doctor Who" serial "The Evil of the Daleks."
-
D.
Joan Gardner
Joan Gardner was an American voice actress known for her work in animated films and television specials during the mid-20th century.
-
E.
Nadine Cross
Nadine Cross is a central, morally conflicted character in Stephen King’s post-apocalyptic novel "The Stand," whose fate becomes entwined with both good and evil forces.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6150f08190a3738f1eda7fa834 |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a64af448190b307dff9d4a87baf |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095c4b5ad8819093e5c0de866be84b |
completed | May 17, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095cda3c8081908d85b3da4fc1c06f |
completed | May 17, 2026, 6:14 a.m. |
Created at: April 16, 2026, 2:53 p.m.