Triple

T23337599
Position Surface form Disambiguated ID Type / Status
Subject Empress Xiaojingcheng E591638 entity
Predicate predecessorInHighestHaremRank P50736 FINISHED
Object Empress Xiaoquancheng NE NERFINISHED

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: Empress Xiaoquancheng | Statement: [Empress Xiaojingcheng, predecessorInHighestHaremRank, Empress Xiaoquancheng]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: predecessorInHighestHaremRank
Context triple: [Empress Xiaojingcheng, predecessorInHighestHaremRank, Empress Xiaoquancheng]
  • A. predecessorInMaoMarriageOrder
    Indicates that one person is immediately earlier than another in the ordered sequence of spouses within a Mao-style marriage arrangement.
  • B. predecessorAsHeir
    Indicates that one entity previously held the status of heir before being succeeded by another in that role.
  • C. predecessorAsChiefImperialLady chosen
    Indicates that one entity previously held the position of chief imperial lady immediately before another entity.
  • D. predecessorAsHeadOfClan
    Indicates that one entity previously held the position of head of the clan immediately before the other entity.
  • E. positionInHarem
    Indicates the rank or hierarchical standing that an individual holds within a harem.
  • F. None of above.

Provenance (3 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69effcfd8d288190937a887fe6023c11 completed April 28, 2026, 12:19 a.m.
Created at: April 17, 2026, 5:17 p.m.