Triple
T11760139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Sheep |
E279632
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
|
E949576
|
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: Mike Donnelly | Statement: [Black Sheep, mainCharacter, Mike Donnelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Donnelly Context triple: [Black Sheep, mainCharacter, Mike Donnelly]
-
A.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
-
B.
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.
-
C.
Bill Rasmussen
Bill Rasmussen is an American sports broadcasting executive best known for creating ESPN, the first 24-hour cable sports television network.
-
D.
Darrell Cartrip
Darrell Cartrip is an anthropomorphic race car and excitable sports commentator in Pixar's Cars film series.
-
E.
Randall McCormick
Randall McCormick is a screenwriter best known for his work on action and fantasy films, including the prequel sequel "The Scorpion King 2: Rise of a Warrior."
- 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: Mike Donnelly Triple: [Black Sheep, mainCharacter, Mike Donnelly]
Generated description
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Donnelly Target entity description: Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
A.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
-
B.
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.
-
C.
Bill Rasmussen
Bill Rasmussen is an American sports broadcasting executive best known for creating ESPN, the first 24-hour cable sports television network.
-
D.
Darrell Cartrip
Darrell Cartrip is an anthropomorphic race car and excitable sports commentator in Pixar's Cars film series.
-
E.
Randall McCormick
Randall McCormick is a screenwriter best known for his work on action and fantasy films, including the prequel sequel "The Scorpion King 2: Rise of a Warrior."
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16695479c819082c6ab12657a2d5f |
completed | April 29, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 8, 2026, 9:41 p.m.