Triple
T8740006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procol Harum |
E207475
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dave Ball
Dave Ball was an English rock guitarist best known for his work with Procol Harum in the early 1970s.
|
E755840
|
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: Dave Ball | Statement: [Procol Harum, hasMember, Dave Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Ball Context triple: [Procol Harum, hasMember, Dave Ball]
-
A.
Fred Ball
Fred Ball is a film producer best known for his work on the cult classic crime-romance movie "True Romance."
-
B.
Martin Ballinger
Martin Ballinger was a British businessman best known as the founder and first chief executive of the Go-Ahead Group, one of the UK’s major public transport operators.
-
C.
Paul Ballard
Paul Ballard is a determined FBI agent in the television series "Dollhouse" who becomes obsessed with uncovering the truth behind the mysterious Dollhouse organization.
-
D.
Dave Boller
Dave Boller is an American football executive best known for serving as the general manager of the San Diego Fleet in the Alliance of American Football.
-
E.
Sam Ball
Sam Ball is an actor known for his supporting role in the romantic comedy film "13 Going on 30."
- 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: Dave Ball Triple: [Procol Harum, hasMember, Dave Ball]
Generated description
Dave Ball was an English rock guitarist best known for his work with Procol Harum in the early 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Ball Target entity description: Dave Ball was an English rock guitarist best known for his work with Procol Harum in the early 1970s.
-
A.
Fred Ball
Fred Ball is a film producer best known for his work on the cult classic crime-romance movie "True Romance."
-
B.
Martin Ballinger
Martin Ballinger was a British businessman best known as the founder and first chief executive of the Go-Ahead Group, one of the UK’s major public transport operators.
-
C.
Paul Ballard
Paul Ballard is a determined FBI agent in the television series "Dollhouse" who becomes obsessed with uncovering the truth behind the mysterious Dollhouse organization.
-
D.
Dave Boller
Dave Boller is an American football executive best known for serving as the general manager of the San Diego Fleet in the Alliance of American Football.
-
E.
Sam Ball
Sam Ball is an actor known for his supporting role in the romantic comedy film "13 Going on 30."
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42e7176c819097e313ed8e8ceb06 |
completed | April 3, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69cf43ead588819094089bea94c27207 |
completed | April 3, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf453fa3e4819082466c59649c2f35 |
completed | April 3, 2026, 4:42 a.m. |
Created at: March 30, 2026, 6:38 p.m.