Triple

T5221757
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Giovinco E117885 entity
Predicate givenName P17 FINISHED
Object Sebastian E57255 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: Sebastian | Statement: [Sebastian Giovinco, givenName, Sebastian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian
Context triple: [Sebastian Giovinco, givenName, Sebastian]
  • A. Sebastian chosen
    Sebastian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
  • B. Sebastian Clement
    Sebastian Clement is a fictional character from Willa Cather’s novel "Lucy Gayheart," serving as a central figure in the protagonist’s emotional and artistic life.
  • C. Sebastian Blunt
    Sebastian Blunt is a British actor and the brother of acclaimed actress Emily Blunt.
  • D. Sebastian Henshaw
    Sebastian Henshaw is a suave and skilled British intelligence agent who becomes entangled in a chaotic international espionage adventure in the action-comedy film "The Spy Who Dumped Me."
  • E. Sebastian Miranda
    Sebastian Miranda is the son of composer, lyricist, and actor Lin-Manuel Miranda and lawyer-scientist Vanessa Nadal.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff49d708190a042dfab473a9646 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.