Triple
T16770848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheldon Lettich |
E407589
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Legionnaire |
E1232647
|
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: Legionnaire | Statement: [Sheldon Lettich, directorOf, Legionnaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legionnaire Context triple: [Sheldon Lettich, directorOf, Legionnaire]
-
A.
Legionnaire
chosen
"Legionnaire" is a 1998 action-adventure film starring Jean-Claude Van Damme as a boxer who joins the French Foreign Legion to escape the mob.
-
B.
The Legionnaires
The Legionnaires is a documentary novel by Swedish author Per Olov Enquist that examines the controversial postwar extradition of Baltic soldiers from Sweden to the Soviet Union.
-
C.
Legion
"Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
-
D.
Legion
Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
-
E.
Legion
Legion is the nickname of Birmingham Legion FC, a professional soccer club based in Birmingham, Alabama, competing in the USL Championship.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0361e5081908f58edf766ff3ce0 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafa19888190bb7f96591f363867 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.