Triple
T6499484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmet Brickowski |
E148846
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Bricksburg |
E367182
|
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: Bricksburg | Statement: [Emmet Brickowski, residence, Bricksburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bricksburg Context triple: [Emmet Brickowski, residence, Bricksburg]
-
A.
Bricksburg
chosen
Bricksburg is the primary LEGO city setting in "The LEGO Movie," depicted as a bustling, highly structured world built entirely from LEGO bricks.
-
B.
Coolville
Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
-
C.
Streeterville
Streeterville is a vibrant neighborhood on Chicago’s Near North Side known for its lakefront attractions, high-rise buildings, and major cultural and tourist destinations.
-
D.
Bedrock
Bedrock is the prehistoric, stone-age town that serves as the primary setting of the animated television series "The Flintstones."
-
E.
Blissville
Blissville is a small, historically industrial neighborhood in western Queens, New York City, known for its proximity to major rail yards and cemeteries.
- 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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad1c46c819089db43e7c3a8d160 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb1f649c8190bcc26f15d7a4faca |
completed | March 27, 2026, 6:23 p.m. |
Created at: March 27, 2026, 1:42 p.m.