Triple
T20949671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superman: Unbound |
E515944
|
entity |
| Predicate | featuresFictionalLocation |
P26457
|
FINISHED |
| Object | Kandor |
—
|
NE NERFINISHED |
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: Kandor | Statement: [Superman: Unbound, featuresFictionalLocation, Kandor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandor Context triple: [Superman: Unbound, featuresFictionalLocation, Kandor]
-
A.
Kandor
chosen
Kandor is the shrunken and bottled capital city of Krypton, famously preserved by the Superman villain Brainiac.
-
B.
Star City
Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
-
C.
Star City
Star City is a closed Russian town near Moscow best known as the longtime hub of Soviet and Russian cosmonaut training and spaceflight preparation.
-
D.
Star City
Star City is a commonly used nickname for the city of Lincoln, Nebraska.
-
E.
Star City
Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadc08148190b4ff710f94462a26 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:18 p.m.