Triple
T11480312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scooby-Doo |
E272125
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Scoobert "Scooby" Doo |
E272125
|
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: Scoobert "Scooby" Doo | Statement: [Scooby-Doo, fullName, Scoobert "Scooby" Doo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scoobert "Scooby" Doo Context triple: [Scooby-Doo, fullName, Scoobert "Scooby" Doo]
-
A.
Scooby-Doo (character)
chosen
Scooby-Doo is a cowardly yet lovable Great Dane who solves mysteries with a group of teenagers in the long-running animated franchise of the same name.
-
B.
Velma Dinkley
Velma Dinkley is the intelligent, analytically minded member of the Mystery Inc. gang in the Scooby-Doo franchise, known for her problem-solving skills, iconic glasses, and catchphrase “Jinkies!”
-
C.
Scooby-Doo
Scooby-Doo is a long-running animated mystery-comedy franchise centered on a talking Great Dane and a group of teens who solve spooky, often humorous supernatural mysteries.
-
D.
Droopy
Droopy is a classic, deadpan cartoon dog from American animated shorts, best known for his slow, monotone delivery and unexpectedly effective antics.
-
E.
Pig Pen
Pig Pen is a supporting trucker character from the 1978 action film "Convoy," known for riding with the convoy led by Rubber Duck.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60434966c81909a277b6a0fd9f358 |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:36 p.m.