Triple

T645559
Position Surface form Disambiguated ID Type / Status
Subject Reed Jobs E11233 entity
Predicate givenName P17 FINISHED
Object Reed E80501 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: Reed | Statement: [Reed Jobs, givenName, Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reed
Context triple: [Reed Jobs, givenName, Reed]
  • A. Reed chosen
    Reed is a given name and surname of English and Scottish origin, commonly associated with meanings related to red hair or a person living near reeds.
  • B. Reynolds
    Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
  • C. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • D. Reva
    Reva is an alternative name for the Narmada River, one of central India’s major and holiest rivers.
  • E. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a580373e3c81909aa9ff50f3b1e781 completed March 2, 2026, 12:19 p.m.
Created at: March 1, 2026, 7:36 p.m.