Triple
T9615686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Maria replica |
E232212
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Black Maria |
E810488
|
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: Black Maria | Statement: [Black Maria replica, inspiredBy, Black Maria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Maria Context triple: [Black Maria replica, inspiredBy, Black Maria]
-
A.
Black Maria
chosen
Black Maria was Thomas Edison's pioneering early American film studio, often considered one of the first motion picture production facilities in the world.
-
B.
White Cargo
White Cargo is a 1942 Hollywood drama film best known for starring Hedy Lamarr in one of her most iconic and controversial roles.
-
C.
Orneta
Orneta is a small historic town in northern Poland known for its medieval architecture and location within the picturesque Warmian-Masurian region.
-
D.
Saide
Saide is a given name that serves as an alternative spelling of the more common name Sadie.
-
E.
Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aabb6b88190b53547db885e0129 |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18223429c8190b1b96b07155c5742 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8:09 p.m.