Triple

T17790308
Position Surface form Disambiguated ID Type / Status
Subject Claire Cleary E444140 entity
Predicate engagedTo P17846 FINISHED
Object Sack Lodge
Sack Lodge is a wealthy, arrogant Ivy League-educated suitor and the primary romantic rival in the comedy film "Wedding Crashers."
E1288629 NE FINISHED

How this triple was built (4 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: Sack Lodge | Statement: [Claire Cleary, engagedTo, Sack Lodge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sack Lodge
Context triple: [Claire Cleary, engagedTo, Sack Lodge]
  • A. Stone Lodge
    Stone Lodge is the former name of White Lodge, a historic Georgian royal residence located in Richmond Park, Surrey, England.
  • B. Lowther Lodge
    Lowther Lodge is a distinguished Arts and Crafts-style London townhouse, now home to the Royal Geographical Society, designed by prominent Victorian architect Richard Norman Shaw.
  • C. Lee Lodge
    Lee Lodge is a television and live-event producer known for overseeing major music award shows and high-profile broadcast productions.
  • D. Mather Lodge
    Mather Lodge is a historic stone-and-timber lodge and visitor hub located atop Petit Jean Mountain in Arkansas’s Petit Jean State Park.
  • E. Smithy Lodge
    Smithy Lodge is a historic gate lodge located at the entrance of Heaton Park in Manchester, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sack Lodge
Triple: [Claire Cleary, engagedTo, Sack Lodge]
Generated description
Sack Lodge is a wealthy, arrogant Ivy League-educated suitor and the primary romantic rival in the comedy film "Wedding Crashers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sack Lodge
Target entity description: Sack Lodge is a wealthy, arrogant Ivy League-educated suitor and the primary romantic rival in the comedy film "Wedding Crashers."
  • A. Stone Lodge
    Stone Lodge is the former name of White Lodge, a historic Georgian royal residence located in Richmond Park, Surrey, England.
  • B. Lowther Lodge
    Lowther Lodge is a distinguished Arts and Crafts-style London townhouse, now home to the Royal Geographical Society, designed by prominent Victorian architect Richard Norman Shaw.
  • C. Lee Lodge
    Lee Lodge is a television and live-event producer known for overseeing major music award shows and high-profile broadcast productions.
  • D. Mather Lodge
    Mather Lodge is a historic stone-and-timber lodge and visitor hub located atop Petit Jean Mountain in Arkansas’s Petit Jean State Park.
  • E. Smithy Lodge
    Smithy Lodge is a historic gate lodge located at the entrance of Heaton Park in Manchester, England.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4879688908190a5428b1fa7525f62 completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f83854388190bfa27b6adbf2b364 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f9e9f38c81908de58994c086b52f completed May 12, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a02fadc5d4481908f7e7139a83c02bc completed May 12, 2026, 10:03 a.m.
Created at: April 10, 2026, 10:13 a.m.