Triple

T12835371
Position Surface form Disambiguated ID Type / Status
Subject Luis Tiant E306896 entity
Predicate familyName P18 FINISHED
Object Tiant E306896 NE FINISHED

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: Tiant | Statement: [Luis Tiant, familyName, Tiant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiant
Context triple: [Luis Tiant, familyName, Tiant]
  • A. Tiant chosen
    Tiant is a surname most notably associated with Cuban former Major League Baseball pitcher Luis Tiant, known for his distinctive delivery and success with the Boston Red Sox in the 1970s.
  • B. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • C. Tsien
    Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
  • D. Feng-tien
    Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edaa6288190a775f6e852fa941b completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:34 p.m.