Triple
T11415933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barney Rubble |
E270491
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | prehistoric town of Bedrock |
E270493
|
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: prehistoric town of Bedrock | Statement: [Barney Rubble, setting, prehistoric town of Bedrock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: prehistoric town of Bedrock Context triple: [Barney Rubble, setting, prehistoric town of Bedrock]
-
A.
Bedrock
chosen
Bedrock is the prehistoric, stone-age town that serves as the primary setting of the animated television series "The Flintstones."
-
B.
Toonerville
Toonerville is the fictional small-town setting featured in the early 20th-century Mickey McGuire comedy stories and film shorts.
-
C.
Toy Town
Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
-
D.
Coolville
Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
-
E.
Bricksburg
Bricksburg is the primary LEGO city setting in "The LEGO Movie," depicted as a bustling, highly structured world built entirely from LEGO bricks.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801ae47d0819098123505309c4a68 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b86936348190b8fa4125995c2a85 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.