Triple
T3473368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Candy |
E73312
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Christopher Candy
Christopher Candy is a Canadian actor and comedian, and the son of the late comedy legend John Candy.
|
E363404
|
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: Christopher Candy | Statement: [John Candy, child, Christopher Candy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Candy Context triple: [John Candy, child, Christopher Candy]
-
A.
Danny Wagner
Danny Wagner is the drummer for the American rock band Greta Van Fleet.
-
B.
Andrew Carnes
Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
-
C.
Michael Kinney
Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
-
D.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
-
E.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
- 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: Christopher Candy Triple: [John Candy, child, Christopher Candy]
Generated description
Christopher Candy is a Canadian actor and comedian, and the son of the late comedy legend John Candy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christopher Candy Target entity description: Christopher Candy is a Canadian actor and comedian, and the son of the late comedy legend John Candy.
-
A.
Danny Wagner
Danny Wagner is the drummer for the American rock band Greta Van Fleet.
-
B.
Andrew Carnes
Andrew Carnes is a character in the musical "Oklahoma!", known as the protective father of Ado Annie.
-
C.
Michael Kinney
Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
-
D.
Joss Christensen
Joss Christensen is an American freestyle skier best known for winning the inaugural Olympic gold medal in men's slopestyle skiing at the 2014 Winter Olympics in Sochi.
-
E.
Dan Janvey
Dan Janvey is an American film producer known for his work on acclaimed independent films, including the Academy Award–winning "Nomadland."
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3e03e081908aa09291bbf351bd |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373b2058081908558bdea4043b051 |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b374354c0c8190ba46845904b76340 |
completed | March 13, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b374ad3bcc8190ac7d6e614eb696fa |
completed | March 13, 2026, 2:21 a.m. |
Created at: March 8, 2026, 3:17 p.m.