Triple

T9060317
Position Surface form Disambiguated ID Type / Status
Subject OWN E217103 entity
Predicate hasNotableProgram P2489 FINISHED
Object Greenleaf E217100 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: Greenleaf | Statement: [OWN, hasNotableProgram, Greenleaf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenleaf
Context triple: [OWN, hasNotableProgram, Greenleaf]
  • A. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • B. Greenleaf chosen
    Greenleaf is a dramatic television series that explores the secrets, scandals, and power struggles within a wealthy African-American megachurch family.
  • C. Greenleaf
    "Greenleaf" is a short story by Flannery O’Connor that explores themes of faith, violence, and grace through the tense relationship between a farm owner and her hired family.
  • D. Whiteleaf
    Whiteleaf is a small village and residential area on the outskirts of Princes Risborough in Buckinghamshire, England, known for its scenic Chiltern Hills setting and the nearby Whiteleaf Cross chalk hill figure.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebeceab88190b1f4bc0bc6a4c389 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.