Triple
T12642561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Castellanos |
E301933
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Krimson City |
E914395
|
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: Krimson City | Statement: [Sebastian Castellanos, setting, Krimson City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krimson City Context triple: [Sebastian Castellanos, setting, Krimson City]
-
A.
Krimson City
chosen
Krimson City is a dark, nightmarish urban environment central to the events of the survival horror game series The Evil Within.
-
B.
Crown City
Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
-
C.
Redshore City
Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
-
D.
Archangel City
Archangel City is an alternative name for the Russian port city of Arkhangelsk, a historic hub of Arctic trade and shipbuilding on the White Sea.
-
E.
Radiant City
Radiant City is Le Corbusier’s influential modernist urban planning vision that proposed high-density towers set in open green spaces, strict zoning, and car-oriented infrastructure to create an ordered, efficient city.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687770388190b4777885dae8a38f |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.