Triple

T6996739
Position Surface form Disambiguated ID Type / Status
Subject Henry Haller E162233 entity
Predicate employer P7 FINISHED
Object Executive Residence E3640 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: Executive Residence | Statement: [Henry Haller, employer, Executive Residence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Executive Residence
Context triple: [Henry Haller, employer, Executive Residence]
  • A. Executive Residence chosen
    The Executive Residence is the central, historic White House building that serves as the official home of the President of the United States.
  • B. Highlands Ranch Mansion
    Highlands Ranch Mansion is a historic estate and event venue in Highlands Ranch, Colorado, known for its grand architecture and role in the region’s ranching history.
  • C. Residential Axis
    Residential Axis is a major housing-focused thoroughfare in Brasília that forms one of the principal arms of Lúcio Costa’s modernist “airplane” city layout.
  • D. Executive Club
    Executive Club is British Airways’ frequent flyer loyalty program that rewards members with points, status tiers, and travel benefits for flying and partner activity.
  • E. Legacy Place
    Legacy Place is a large open-air shopping and entertainment complex in Dedham, Massachusetts, featuring retail stores, restaurants, and a cinema.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbedafa48190af0d2b47e3a1e17e completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a2465908190b69454f6215365b0 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.