Triple
T16988685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessie Love |
E412135
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Magic Box |
E485720
|
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: The Magic Box | Statement: [Bessie Love, notableWork, The Magic Box]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Magic Box Context triple: [Bessie Love, notableWork, The Magic Box]
-
A.
The Magic Box
chosen
The Magic Box is a 1951 British biographical drama film about cinema pioneer William Friese-Greene, featuring Glynis Johns among its notable cast.
-
B.
The Magic Room
The Magic Room is a nonfiction book by journalist Jeffrey Zaslow that explores the emotional journeys of brides and their families through the stories centered around a small-town bridal shop.
-
C.
The Magic Man
The Magic Man is the nickname of Pavel Datsyuk, a Russian former NHL star renowned for his exceptional puck-handling, creativity, and two-way play.
-
D.
The Mad Magician
The Mad Magician is a 1954 3D horror film starring Vincent Price as a vengeful illusionist who uses his skills in gruesome murders.
-
E.
The Magic Hedge
The Magic Hedge is a renowned birdwatching hotspot and migratory bird sanctuary located along the Lake Michigan shoreline in Chicago’s Montrose Point.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27dca248190a9b73b16439d5631 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc12e308819093e7f8933cdd6ba9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.