Triple

T3648910
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Strong E77370 entity
Predicate givenName P17 FINISHED
Object Jeremy E73682 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: Jeremy | Statement: [Jeremy Strong, givenName, Jeremy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy
Context triple: [Jeremy Strong, givenName, Jeremy]
  • A. Jeremy chosen
    Jeremy is one of the central male protagonists in the romantic comedy film "Think Like a Man," which follows a group of men whose relationships are upended when their partners start using advice from Steve Harvey’s dating book.
  • B. Jeremy
    "Jeremy" is a widely acclaimed Pearl Jam song, known for its haunting narrative about a troubled youth and its powerful, socially charged music video.
  • C. Jonathan
    Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
  • D. Justin
    Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
  • E. Justin
    Justin is the given name of Justin Trudeau, the 23rd prime minister of Canada and leader of the Liberal Party.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38c22548190a271a69fb832a5a8 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.