Triple
T11992221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo Faron |
E285433
|
entity |
| Predicate | protects |
P1040
|
FINISHED |
| Object | Kee |
E285434
|
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: Kee | Statement: [Theo Faron, protects, Kee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kee Context triple: [Theo Faron, protects, Kee]
-
A.
Kee
chosen
Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
-
B.
Kees
Kees is the familiar nickname of Kees van Dongen, a prominent Dutch-French Fauvist painter known for his vibrant colors and expressive portraits.
-
C.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
-
D.
Kedzie
Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
-
E.
Kitee
Kitee is a small town and municipality in eastern Finland known for its lakeside scenery and rural character.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.