Triple
T13954398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Farley |
E335615
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Mike Donnelly |
E949576
|
NE FINISHED |
How this triple was built (2 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: Mike Donnelly | Statement: [Chris Farley, portrayedCharacter, Mike Donnelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Donnelly Context triple: [Chris Farley, portrayedCharacter, Mike Donnelly]
-
A.
Mike Donnelly
chosen
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
B.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
-
C.
Michael J. McCulley
Michael J. McCulley is a former NASA astronaut and U.S. Navy submariner who served as the pilot of the Space Shuttle Atlantis on the STS-34 mission.
-
D.
Bill Rasmussen
Bill Rasmussen is an American sports broadcasting executive best known for creating ESPN, the first 24-hour cable sports television network.
-
E.
Darrell Cartrip
Darrell Cartrip is an anthropomorphic race car and excitable sports commentator in Pixar's Cars film series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69fd323e89948190bb280e93e2058c0a |
completed | May 8, 2026, 12:45 a.m. |
Created at: April 9, 2026, 10:17 p.m.