Triple
T4138272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias Beckett |
E89209
|
entity |
| Predicate | worksFor |
P5820
|
FINISHED |
| Object | Crimson Dawn |
E390375
|
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: Crimson Dawn | Statement: [Tobias Beckett, worksFor, Crimson Dawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crimson Dawn Context triple: [Tobias Beckett, worksFor, Crimson Dawn]
-
A.
Crimson Dawn
chosen
Crimson Dawn is a powerful and secretive criminal syndicate in the Star Wars universe, known for its influence in the galactic underworld and ties to major underworld figures.
-
B.
Lost Honor
Lost Honor is a memoir by former White House Counsel John Dean reflecting on his role in the Watergate scandal and its aftermath.
-
C.
The War Lord
The War Lord is a 1965 historical drama film starring Charlton Heston as a conflicted Norman knight in medieval Normandy, directed by Franklin J. Schaffner.
-
D.
Fire & Blood
Fire & Blood is a companion history book by George R. R. Martin that chronicles the rise and rule of House Targaryen in the world of A Song of Ice and Fire.
-
E.
The Vanishing Legion
The Vanishing Legion is a 1931 American movie serial, blending Western and mystery elements, known for its masked riders, oil-field intrigue, and early sound-era action.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c9f8a081908c2910ac475e4974 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.