Triple

T6994593
Position Surface form Disambiguated ID Type / Status
Subject Kim Coates E162176 entity
Predicate notableWork P4 FINISHED
Object King of Sorrow
King of Sorrow is a film featuring actor Kim Coates in a prominent role.
 E635909 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: King of Sorrow | Statement: [Kim Coates, notableWork, King of Sorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King of Sorrow
Context triple: [Kim Coates, notableWork, King of Sorrow]
  • A. King in Exile
    King in Exile is the title borne by Thorin Oakenshield during his dispossession from Erebor, signifying his status as the rightful but landless Dwarven king.
  • B. Burn of Sorrow
    Burn of Sorrow is a small Scottish stream flowing through the dramatic gorge below Castle Campbell in Clackmannanshire.
  • C. Mask of Sorrow
    Mask of Sorrow is a monumental sculpture in Magadan, Russia, commemorating the victims of Stalinist political repression and the Gulag labor camps.
  • D. Lord of Senigallia
    Lord of Senigallia was a feudal title in the Italian town of Senigallia, historically associated with the powerful noble House of della Rovere during the Renaissance.
  • E. Pillar of the Kingdom
    Pillar of the Kingdom is the official motto of Chulalongkorn University, reflecting its role as a leading institution supporting the nation’s development and prosperity.
  • 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: King of Sorrow
Triple: [Kim Coates, notableWork, King of Sorrow]
Generated description
King of Sorrow is a film featuring actor Kim Coates in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: King of Sorrow
Target entity description: King of Sorrow is a film featuring actor Kim Coates in a prominent role.
  • A. King in Exile
    King in Exile is the title borne by Thorin Oakenshield during his dispossession from Erebor, signifying his status as the rightful but landless Dwarven king.
  • B. Burn of Sorrow
    Burn of Sorrow is a small Scottish stream flowing through the dramatic gorge below Castle Campbell in Clackmannanshire.
  • C. Mask of Sorrow
    Mask of Sorrow is a monumental sculpture in Magadan, Russia, commemorating the victims of Stalinist political repression and the Gulag labor camps.
  • D. Lord of Senigallia
    Lord of Senigallia was a feudal title in the Italian town of Senigallia, historically associated with the powerful noble House of della Rovere during the Renaissance.
  • E. Pillar of the Kingdom
    Pillar of the Kingdom is the official motto of Chulalongkorn University, reflecting its role as a leading institution supporting the nation’s development and prosperity.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeaa88c8190a49f8504c1793e1f completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a1adec88190a769ec7af0fa7b51 completed March 28, 2026, 5:41 a.m.
NEDg Description generation batch_69c76aac21448190ac2b94c836f2f725 completed March 28, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69c76b3efc0081909e506f9a828d4fd8 completed March 28, 2026, 5:46 a.m.
Created at: March 27, 2026, 2:32 p.m.