Triple

T18049134
Position Surface form Disambiguated ID Type / Status
Subject Dru Hill E431880 entity
Predicate hasMember P10 FINISHED
Object Tao 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: Tao | Statement: [Dru Hill, hasMember, Tao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao
Context triple: [Dru Hill, hasMember, Tao]
  • A. Tao
    Tao is a central antagonist character in the Sleeper universe, known for opposing the protagonist’s goals and driving much of the story’s conflict.
  • B. Tao chosen
    Tao is a Chinese surname shared by numerous individuals, including the renowned mathematician Terence Tao.
  • C. Tao
    Tao is the central, ineffable principle in Chinese philosophy and religion, especially Taoism, representing the fundamental way or path underlying the universe and natural order.
  • D. T’ai-tsu
    T’ai-tsu is the Wade–Giles romanization of "Taizu," a title commonly used for founding emperors in Chinese dynasties, such as the first emperors of the Ming and Song.
  • E. Tao-Klarjeti
    Tao-Klarjeti is a medieval Georgian historical region known as a major political, cultural, and religious center of early Georgian statehood and Christian monastic life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff4a6e08190a5ca8d191aa7f0ae completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.