Triple
T7305346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Human League |
E167959
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object |
Jo Callis
Jo Callis is a Scottish musician and songwriter best known as a key member and co-writer of hits for the synth-pop band The Human League.
|
E655405
|
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: Jo Callis | Statement: [The Human League, formerMember, Jo Callis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Callis Context triple: [The Human League, formerMember, Jo Callis]
-
A.
Charlie Callas
Charlie Callas was an American comedian and actor known for his frenetic, sound-effect-laden stand-up routines and frequent appearances on television and in films during the 1960s and 1970s.
-
B.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
C.
Judd Garrett
Judd Garrett is a former American football running back and coach who has worked in various scouting and coaching roles in the NFL.
-
D.
Jaime Pressly
Jaime Pressly is an American actress and model best known for her Emmy-winning role as Joy Turner on the television sitcom "My Name Is Earl."
-
E.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
- 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: Jo Callis Triple: [The Human League, formerMember, Jo Callis]
Generated description
Jo Callis is a Scottish musician and songwriter best known as a key member and co-writer of hits for the synth-pop band The Human League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jo Callis Target entity description: Jo Callis is a Scottish musician and songwriter best known as a key member and co-writer of hits for the synth-pop band The Human League.
-
A.
Charlie Callas
Charlie Callas was an American comedian and actor known for his frenetic, sound-effect-laden stand-up routines and frequent appearances on television and in films during the 1960s and 1970s.
-
B.
Jon Callas
Jon Callas is a cryptographer and security expert known for co-founding PGP Corporation and developing secure communication technologies.
-
C.
Judd Garrett
Judd Garrett is a former American football running back and coach who has worked in various scouting and coaching roles in the NFL.
-
D.
Jaime Pressly
Jaime Pressly is an American actress and model best known for her Emmy-winning role as Joy Turner on the television sitcom "My Name Is Earl."
-
E.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd61c0c8190abb1368c9dfb1550 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e5603a288190a19d426905781cae |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e5ef420081908026576aaba34b11 |
completed | March 28, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e67d64748190a4b5765a06413fd6 |
completed | March 28, 2026, 2:32 p.m. |
Created at: March 27, 2026, 3:01 p.m.