Triple

T27495486
Position Surface form Disambiguated ID Type / Status
Subject Iron Fist (Danny Rand) E694009 entity
Predicate baseOfOperations P2591 FINISHED
Object K'un-Lun
K'un-Lun is a mystical, hidden city in Marvel Comics located in a separate dimension, famed for its martial arts traditions and as the source of the Iron Fist’s power.
E1776606 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: K'un-Lun | Statement: [Iron Fist (Danny Rand), baseOfOperations, K'un-Lun]
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: K'un-Lun
Triple: [Iron Fist (Danny Rand), baseOfOperations, K'un-Lun]
Generated description
K'un-Lun is a mystical, hidden city in Marvel Comics located in a separate dimension, famed for its martial arts traditions and as the source of the Iron Fist’s power.

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_69ef5382b9648190be0b1ef2ad5d043c completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62ebf17488190a5b144062974140c completed May 2, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbf5461c8190b9d253536e2e27c5 completed May 24, 2026, 8:51 a.m.
NEDg Description generation batch_6a12bd818ac481909730a0db82a524a1 completed May 24, 2026, 8:57 a.m.
NED2 Entity disambiguation (via description) batch_6a12be0dc28481908d859f7ae68bfc42 completed May 24, 2026, 8:59 a.m.
Created at: April 27, 2026, 1:08 p.m.