Triple
T19437137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Heroes |
E486251
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Paragon City
Paragon City is a fictional, superhero-filled metropolis that serves as the primary game world in the MMORPG City of Heroes.
|
E1374768
|
NE FINISHED |
How this triple was built (4 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: Paragon City | Statement: [City of Heroes, setting, Paragon City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paragon City Context triple: [City of Heroes, setting, Paragon City]
-
A.
Redshore City
Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
-
B.
Champion City
Champion City is the quirky, crime-ridden fictional metropolis that serves as the primary setting for the superhero comedy film "Mystery Men."
-
C.
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.
-
D.
Keyhaven
Keyhaven is a small coastal village in Hampshire, England, known for its sailing, salt marshes, and views across the Solent toward the Isle of Wight.
-
E.
Krimson City
Krimson City is a dark, nightmarish urban environment central to the events of the survival horror game series The Evil Within.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paragon City Triple: [City of Heroes, setting, Paragon City]
Generated description
Paragon City is a fictional, superhero-filled metropolis that serves as the primary game world in the MMORPG City of Heroes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paragon City Target entity description: Paragon City is a fictional, superhero-filled metropolis that serves as the primary game world in the MMORPG City of Heroes.
-
A.
Redshore City
Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
-
B.
Champion City
Champion City is the quirky, crime-ridden fictional metropolis that serves as the primary setting for the superhero comedy film "Mystery Men."
-
C.
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.
-
D.
Keyhaven
Keyhaven is a small coastal village in Hampshire, England, known for its sailing, salt marshes, and views across the Solent toward the Isle of Wight.
-
E.
Krimson City
Krimson City is a dark, nightmarish urban environment central to the events of the survival horror game series The Evil Within.
- F. None of above. chosen
Provenance (5 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633618c2881908f3d2a9cabb02289 |
completed | April 20, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733e006108190b3c69d3224bc3d25 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0734809dc48190b4378e168e0e35ec |
completed | May 15, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07355c10c881909f8a2a3a6b7e7dfe |
completed | May 15, 2026, 3:01 p.m. |
Created at: April 10, 2026, 1:38 p.m.