Triple
T3407100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selina Meyer |
E71799
|
entity |
| Predicate | hasStaffMember |
P36133
|
FINISHED |
| Object |
Ben Cafferty
Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
|
E422804
|
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: Ben Cafferty | Statement: [Selina Meyer, hasStaffMember, Ben Cafferty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Cafferty Context triple: [Selina Meyer, hasStaffMember, Ben Cafferty]
-
A.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
B.
Don McCafferty
Don McCafferty was an American football coach best known for leading the Baltimore Colts to victory in Super Bowl V.
-
C.
Ken Moffett
Ken Moffett was a prominent American labor mediator and union negotiator best known for his key role in resolving major sports labor disputes, including those in Major League Baseball.
-
D.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
E.
Kevin Cossom
Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
- 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: Ben Cafferty Triple: [Selina Meyer, hasStaffMember, Ben Cafferty]
Generated description
Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Cafferty Target entity description: Ben Cafferty is a cynical, sharp-tongued political operative and senior adviser to Selina Meyer on the television series "Veep."
-
A.
Ian Crafford
Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
-
B.
Don McCafferty
Don McCafferty was an American football coach best known for leading the Baltimore Colts to victory in Super Bowl V.
-
C.
Ken Moffett
Ken Moffett was a prominent American labor mediator and union negotiator best known for his key role in resolving major sports labor disputes, including those in Major League Baseball.
-
D.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
E.
Kevin Cossom
Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8ede9c48190b13b0f5e7474e7fa |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b595dfe0248190a9a45eca075d6eae |
completed | March 14, 2026, 5:07 p.m. |
| NEDg | Description generation | batch_69b599becb488190bca466aa26b807a0 |
completed | March 14, 2026, 5:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b59a1878c881908c404d25568bc6b7 |
completed | March 14, 2026, 5:25 p.m. |
Created at: March 8, 2026, 3:15 p.m.