Triple

T18902125
Position Surface form Disambiguated ID Type / Status
Subject Mode series E462361 entity
Predicate hasMainCharacter P1183 FINISHED
Object Seqiro
Seqiro is a central character in the Mode science fantasy series by Piers Anthony, known as a powerful and enigmatic telepathic horse.
E1348176 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: Seqiro | Statement: [Mode series, hasMainCharacter, Seqiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seqiro
Context triple: [Mode series, hasMainCharacter, Seqiro]
  • A. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • B. Seir
    Seir is a mountainous region in Edom, traditionally associated with the Horites and later the descendants of Esau in the Hebrew Bible.
  • C. Swieqi
    Swieqi is a residential town in the Central Region of Malta known for its quiet neighborhoods and proximity to the nightlife and commercial areas of St. Julian's.
  • D. Sisor
    Sisor is a genus of Asian river catfishes known for their flattened bodies and adaptations to fast-flowing, rocky streams.
  • E. Siguiri
    Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
  • 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: Seqiro
Triple: [Mode series, hasMainCharacter, Seqiro]
Generated description
Seqiro is a central character in the Mode science fantasy series by Piers Anthony, known as a powerful and enigmatic telepathic horse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seqiro
Target entity description: Seqiro is a central character in the Mode science fantasy series by Piers Anthony, known as a powerful and enigmatic telepathic horse.
  • A. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • B. Seir
    Seir is a mountainous region in Edom, traditionally associated with the Horites and later the descendants of Esau in the Hebrew Bible.
  • C. Swieqi
    Swieqi is a residential town in the Central Region of Malta known for its quiet neighborhoods and proximity to the nightlife and commercial areas of St. Julian's.
  • D. Sisor
    Sisor is a genus of Asian river catfishes known for their flattened bodies and adaptations to fast-flowing, rocky streams.
  • E. Siguiri
    Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52a4b4c8190b5821996e3c1741d completed April 20, 2026, 6:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582bc878c8190bfb5f058aa272225 completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a05871baa5881908c3c0f407b2d82c0 completed May 14, 2026, 8:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0587acbf1c819088bae20aa89783eb completed May 14, 2026, 8:28 a.m.
Created at: April 10, 2026, 11:58 a.m.