Triple
T13954396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Farley |
E335615
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Matt Foley
Matt Foley is a famously over-the-top, motivational-speaker character from Saturday Night Live known for living "in a van down by the river."
|
E372916
|
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: Matt Foley | Statement: [Chris Farley, portrayedCharacter, Matt Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Foley Context triple: [Chris Farley, portrayedCharacter, Matt Foley]
-
A.
Anthony Anderson
Anthony Anderson is an American actor and comedian known for his roles in film and television, including the hit sitcom "Black-ish."
-
B.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
C.
David Koechner
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
D.
Hugh Hunt
Hugh Hunt was an American film art director and set decorator known for his work on numerous Hollywood productions in the mid-20th century.
-
E.
Rob Riggle
Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
- 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: Matt Foley Triple: [Chris Farley, portrayedCharacter, Matt Foley]
Generated description
Matt Foley is a famously over-the-top, motivational-speaker character from Saturday Night Live known for living "in a van down by the river."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matt Foley Target entity description: Matt Foley is a famously over-the-top, motivational-speaker character from Saturday Night Live known for living "in a van down by the river."
-
A.
Anthony Anderson
Anthony Anderson is an American actor and comedian known for his roles in film and television, including the hit sitcom "Black-ish."
-
B.
Mark Curtis
Mark Curtis is a British historian and author known for his critical works on UK foreign policy and Western interventionism.
-
C.
David Koechner
chosen
David Koechner is an American character actor and comedian best known for his scene-stealing roles in films like Anchorman and the TV series The Office.
-
D.
Hugh Hunt
Hugh Hunt was an American film art director and set decorator known for his work on numerous Hollywood productions in the mid-20th century.
-
E.
Rob Riggle
Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
- F. None of above.
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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d0735c81909ec0eab090af08a1 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5646cb48190acd932f6fbd6fe62 |
completed | May 6, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6525d0c8190a1ab15881030c11c |
completed | May 6, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:17 p.m.