Triple
T19568893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Road Truckers |
E489657
|
entity |
| Predicate | featuredPerson |
P5272
|
FINISHED |
| Object |
Lisa Kelly
Lisa Kelly is an American truck driver and reality television personality best known for her prominent role on the History Channel series "Ice Road Truckers."
|
E1383646
|
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: Lisa Kelly | Statement: [Ice Road Truckers, featuredPerson, Lisa Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Kelly Context triple: [Ice Road Truckers, featuredPerson, Lisa Kelly]
-
A.
Kim Carrigan
Kim Carrigan is an Australian television and radio presenter best known for her work on news and current affairs programs.
-
B.
Rachel O’Connor
Rachel O’Connor is a film producer known for her work on the tennis drama movie "Challengers."
-
C.
Brenda Kerrigan
Brenda Kerrigan is best known as the mother of American figure skater and Olympic medalist Nancy Kerrigan.
-
D.
Bridget Donovan
Bridget Donovan is a central character in the television drama series "Ray Donovan," known as Ray's intelligent yet troubled daughter who struggles with the chaos of her family's criminal entanglements.
-
E.
Dawn Barlett
Dawn Barlett is the central protagonist of the British television series "My Generation," around whose life and experiences the story revolves.
- 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: Lisa Kelly Triple: [Ice Road Truckers, featuredPerson, Lisa Kelly]
Generated description
Lisa Kelly is an American truck driver and reality television personality best known for her prominent role on the History Channel series "Ice Road Truckers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Kelly Target entity description: Lisa Kelly is an American truck driver and reality television personality best known for her prominent role on the History Channel series "Ice Road Truckers."
-
A.
Kim Carrigan
Kim Carrigan is an Australian television and radio presenter best known for her work on news and current affairs programs.
-
B.
Rachel O’Connor
Rachel O’Connor is a film producer known for her work on the tennis drama movie "Challengers."
-
C.
Brenda Kerrigan
Brenda Kerrigan is best known as the mother of American figure skater and Olympic medalist Nancy Kerrigan.
-
D.
Bridget Donovan
Bridget Donovan is a central character in the television drama series "Ray Donovan," known as Ray's intelligent yet troubled daughter who struggles with the chaos of her family's criminal entanglements.
-
E.
Dawn Barlett
Dawn Barlett is the central protagonist of the British television series "My Generation," around whose life and experiences the story revolves.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f7a74e88190a58d5274050a7d32 |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07578b96d08190a25990879135b598 |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a075865eaac819085b35d165fda91d4 |
completed | May 15, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07590b84488190a33889335ba95c95 |
completed | May 15, 2026, 5:34 p.m. |
Created at: April 10, 2026, 1:42 p.m.