Triple
T6280198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boy George |
E140759
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Jon Moss
Jon Moss is an English drummer best known as a member of the pop band Culture Club alongside Boy George.
|
E585270
|
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: Jon Moss | Statement: [Boy George, associatedAct, Jon Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Moss Context triple: [Boy George, associatedAct, Jon Moss]
-
A.
William Cage
William Cage is the protagonist of the science fiction film "Edge of Tomorrow," a military public relations officer who becomes caught in a time loop while fighting an alien invasion.
-
B.
Craig Morton
Craig Morton is a former American football quarterback best known for leading both the Dallas Cowboys and Denver Broncos to Super Bowl appearances in the 1970s.
-
C.
Jack Barron
Jack Barron is the hard-edged, media-savvy talk show host protagonist of Norman Spinrad’s science fiction novel "Bug Jack Barron."
-
D.
Donn Pearce
Donn Pearce was an American novelist and former convict best known for writing the novel "Cool Hand Luke," which he later adapted into the acclaimed 1967 film.
-
E.
Peter Stone
Peter Stone is an American computer scientist known for his influential work in artificial intelligence and robotics, particularly in multiagent systems and robot soccer.
- 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: Jon Moss Triple: [Boy George, associatedAct, Jon Moss]
Generated description
Jon Moss is an English drummer best known as a member of the pop band Culture Club alongside Boy George.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Moss Target entity description: Jon Moss is an English drummer best known as a member of the pop band Culture Club alongside Boy George.
-
A.
William Cage
William Cage is the protagonist of the science fiction film "Edge of Tomorrow," a military public relations officer who becomes caught in a time loop while fighting an alien invasion.
-
B.
Craig Morton
Craig Morton is a former American football quarterback best known for leading both the Dallas Cowboys and Denver Broncos to Super Bowl appearances in the 1970s.
-
C.
Jack Barron
Jack Barron is the hard-edged, media-savvy talk show host protagonist of Norman Spinrad’s science fiction novel "Bug Jack Barron."
-
D.
Donn Pearce
Donn Pearce was an American novelist and former convict best known for writing the novel "Cool Hand Luke," which he later adapted into the acclaimed 1967 film.
-
E.
Peter Stone
Peter Stone is an American computer scientist known for his influential work in artificial intelligence and robotics, particularly in multiagent systems and robot soccer.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ddb3a4819083455f6da854f8a9 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e411332481908ffff37cad062cce |
completed | March 27, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69c5f91ed43c81909b050767e96ef2cc |
completed | March 27, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f97c9c1c81908f63b53406dba7ed |
completed | March 27, 2026, 3:29 a.m. |
Created at: March 22, 2026, 4:26 p.m.