Triple
T13109377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brickleberry |
E310930
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Malloy
Malloy is a foul-mouthed, sarcastic talking bear cub from the animated TV series "Brickleberry."
|
E1021498
|
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: Malloy | Statement: [Brickleberry, mainCharacter, Malloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malloy Context triple: [Brickleberry, mainCharacter, Malloy]
-
A.
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
-
B.
Lamont
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
-
C.
O'Malley
O'Malley is an Irish-origin surname commonly associated with notable figures in politics, sports, and entertainment.
-
D.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
E.
Kallahan
Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
- 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: Malloy Triple: [Brickleberry, mainCharacter, Malloy]
Generated description
Malloy is a foul-mouthed, sarcastic talking bear cub from the animated TV series "Brickleberry."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malloy Target entity description: Malloy is a foul-mouthed, sarcastic talking bear cub from the animated TV series "Brickleberry."
-
A.
Lamont
Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
-
B.
Lamont
Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
-
C.
O'Malley
O'Malley is an Irish-origin surname commonly associated with notable figures in politics, sports, and entertainment.
-
D.
Turk Malloy
Turk Malloy is a skilled driver and member of Danny Ocean’s crew in the "Ocean's" heist film series.
-
E.
Kallahan
Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by indigenous communities in the northern Philippines.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817ce07881909ec552bf861ac175 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27bd8fc8190a81130b7cb3a8bd8 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e37023d48190ba6a0b790ed23370 |
completed | May 3, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:05 p.m.