Triple

T21124541
Position Surface form Disambiguated ID Type / Status
Subject The Door Was Open and the House Was Dark E520522 entity
Predicate relatedWorkByAuthor P922 FINISHED
Object Clearances NE NERFINISHED

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: Clearances | Statement: [The Door Was Open and the House Was Dark, relatedWorkByAuthor, Clearances]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clearances
Context triple: [The Door Was Open and the House Was Dark, relatedWorkByAuthor, Clearances]
  • A. Clearances chosen
    "Clearances" is a sonnet sequence by Seamus Heaney that reflects on his relationship with his mother and themes of memory, loss, and familial intimacy.
  • B. Clearing
    Clearing is a residential and industrial neighborhood on the southwest side of Chicago, known for encompassing and surrounding Midway International Airport.
  • C. Clearing
    "Clearing" is a large-scale photographic work by German artist Thomas Demand, known for its meticulously constructed paper model of a forest scene that blurs the line between reality and fabrication.
  • D. In the Clear
    "In the Clear" is a song by American rock band Foo Fighters, featured on their 2014 album and TV project *Sonic Highways*.
  • E. Clearinghouse
    Clearinghouse is a U.S. federal database that tracks commercial drivers’ drug and alcohol program violations to improve roadway safety and compliance.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72237c1a4819090987c645114d452 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.