Triple

T2397639
Position Surface form Disambiguated ID Type / Status
Subject Philippi E47686 entity
Predicate visitedBy P1096 FINISHED
Object Timothy E34681 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: Timothy | Statement: [Philippi, visitedBy, Timothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy
Context triple: [Philippi, visitedBy, Timothy]
  • A. Timothy
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • B. Timothy chosen
    Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • C. Tobias
    Tobias is the full given name of Toby Ziegler, the fictional White House Communications Director from the television series "The West Wing."
  • D. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • E. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8c5f0948190b4ea729693d8c306 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf3d44b48190aa405ee612cdf57c completed March 9, 2026, 12:38 p.m.
Created at: March 4, 2026, 7:57 p.m.