Triple

T16766202
Position Surface form Disambiguated ID Type / Status
Subject Rollo Lee E407468 entity
Predicate hasCreator P806 FINISHED
Object Howard Franklin E285305 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: Howard Franklin | Statement: [Rollo Lee, hasCreator, Howard Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Franklin
Context triple: [Rollo Lee, hasCreator, Howard Franklin]
  • A. Howard Franklin chosen
    Howard Franklin is an American screenwriter and film director known for his work on movies such as "Quick Change" and "The Name of the Rose."
  • B. Peter Franklin
    Peter Franklin was one of Benjamin Franklin’s lesser-known siblings, a member of the large Franklin family in colonial New England.
  • C. Morris Franklin
    Morris Franklin was a 19th-century American lawyer and businessman best known for co-founding the Metropolitan Life Insurance Company.
  • D. Howard Holbrook
    Howard Holbrook is an individual notable enough to be recognized as a bearer of the Holbrook surname, though specific widely known public details about him are not readily established.
  • E. Howard Vollum
    Howard Vollum was an American engineer and entrepreneur best known as the co-founder of Tektronix, a pioneering company in oscilloscopes and electronic test equipment.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0330d6081908ce99f14c70b90f2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:21 a.m.