Triple

T16009740
Position Surface form Disambiguated ID Type / Status
Subject Mary Malone E388306 entity
Predicate travelsTo P21947 FINISHED
Object Mulefa world
Mulefa world is the alternate universe in Philip Pullman’s "His Dark Materials" series inhabited by the wheeled, seed-pod–riding mulefa species and explored by Mary Malone.
E1189670 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: Mulefa world | Statement: [Mary Malone, travelsTo, Mulefa world]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulefa world
Context triple: [Mary Malone, travelsTo, Mulefa world]
  • A. Mulee'aage
    Mulee'aage is the official presidential palace and primary residence of the President of the Maldives, located in the capital city Malé.
  • B. Muellama
    Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
  • C. Mwali
    Mwali is the local name for Mohéli, the smallest of the three main islands in the Union of the Comoros in the Indian Ocean.
  • D. Munukutuba
    Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
  • E. Muno
    Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
  • 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: Mulefa world
Triple: [Mary Malone, travelsTo, Mulefa world]
Generated description
Mulefa world is the alternate universe in Philip Pullman’s "His Dark Materials" series inhabited by the wheeled, seed-pod–riding mulefa species and explored by Mary Malone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mulefa world
Target entity description: Mulefa world is the alternate universe in Philip Pullman’s "His Dark Materials" series inhabited by the wheeled, seed-pod–riding mulefa species and explored by Mary Malone.
  • A. Mulee'aage
    Mulee'aage is the official presidential palace and primary residence of the President of the Maldives, located in the capital city Malé.
  • B. Muellama
    Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
  • C. Mwali
    Mwali is the local name for Mohéli, the smallest of the three main islands in the Union of the Comoros in the Indian Ocean.
  • D. Munukutuba
    Munukutuba is a widely used Bantu lingua franca of the Republic of the Congo and surrounding regions, serving as a major language of trade and interethnic communication.
  • E. Muno
    Muno is a village in the municipality of Florenville in the Wallonia region of southern Belgium.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828f8c688190a6b365f9140cd2d8 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf24a9d8819083d7b11d71442da6 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd065cb948190b0ad7e89a12ce535 completed May 10, 2026, 12:25 a.m.
NED2 Entity disambiguation (via description) batch_69ffd1a52de08190a7b283af83be1f42 completed May 10, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:55 a.m.