Triple

T15043234
Position Surface form Disambiguated ID Type / Status
Subject Harriette E379154 entity
Predicate indirectOrigin P116509 FINISHED
Object Henry unclear NED1 NE FINISHED

How this triple was built (3 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: Henry | Statement: [Harriette, indirectOrigin, Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry
Context triple: [Harriette, indirectOrigin, Henry]
  • A. Henry
    Henry is the given name of Henry A. Kissinger, the influential American diplomat and political scientist who served as U.S. Secretary of State and National Security Advisor.
  • B. Henry
    Henry is a common English surname borne by numerous notable individuals across politics, sports, and the arts.
  • C. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • D. Henry
    Henry is a character who serves as the narrator in the 1933 film "The Power and the Glory," providing the story’s perspective and framing its events.
  • E. Henry
    Henry is the central protagonist of the video game "Gray Matter," around whom the story’s mystery and events revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: indirectOrigin
Context triple: [Harriette, indirectOrigin, Henry]
  • A. indirectOriginLanguage
    Indicates that something originates from a particular language, not directly but through one or more intermediate languages or sources.
  • B. originatesAs
    Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
  • C. alternativeOrigin
    Indicates that an entity has a different or secondary source, starting point, or provenance compared to its primary or usual origin.
  • D. awardedIndirectly
    Indicates that one entity grants or confers something to another entity through an intermediary or indirect means rather than via a direct award.
  • E. indirectImpactOn
    Indicates that one entity affects another entity’s state, condition, or outcome through one or more intermediate factors rather than through a direct interaction.
  • F. None of above. chosen

Provenance (5 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0be8bc81909e1f9ed31bfd76fb completed May 9, 2026, 3:46 a.m.
PD Predicate disambiguation batch_69de9a69d7848190b2b4662dd30f20e9 completed April 14, 2026, 7:50 p.m.
PDg Predicate description generation batch_69deb1a88d588190996afa8e5b32b552 completed April 14, 2026, 9:29 p.m.
Created at: April 10, 2026, 3 a.m.