Triple
T11480335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scooby-Doo |
E272125
|
entity |
| Predicate | closeCompanion |
P14992
|
FINISHED |
| Object | Daphne Blake |
E318070
|
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: Daphne Blake | Statement: [Scooby-Doo, closeCompanion, Daphne Blake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daphne Blake Context triple: [Scooby-Doo, closeCompanion, Daphne Blake]
-
A.
Daphne Blake
chosen
Daphne Blake is a fashionable and resourceful member of the Mystery Inc. gang in the Scooby-Doo franchise, often portrayed as a brave sleuth who evolves from damsel in distress to skilled fighter and investigator.
-
B.
Daphne Acott
Daphne Acott was the wife of British actor and theatre manager Alec Clunes.
-
C.
Mia Pascoe
Mia Pascoe is known as the wife of American Olympic alpine ski champion Ted Ligety.
-
D.
Iris Taylor
Iris Taylor is known as the spouse of influential computer scientist and Internet pioneer Robert W. Taylor.
-
E.
Mabel Pines
Mabel Pines is an energetic, optimistic, and quirky pre-teen girl from the animated series "Gravity Falls," known for her colorful sweaters, boundless enthusiasm, and close bond with her twin brother Dipper.
- 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.