Triple

T4585334
Position Surface form Disambiguated ID Type / Status
Subject Patrick Hamilton E101953 entity
Predicate wrote P2831 FINISHED
Object Gas Light E455336 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: Gas Light | Statement: [Patrick Hamilton, wrote, Gas Light]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gas Light
Context triple: [Patrick Hamilton, wrote, Gas Light]
  • A. Gas Light chosen
    Gas Light is a psychological thriller play by Patrick Hamilton that popularized the term "gaslighting" to describe manipulative emotional abuse.
  • B. Gas
    "Gas" is a 1940 painting by American realist artist Edward Hopper depicting a solitary gas station at dusk, emblematic of his themes of isolation and the quiet tension of modern American life.
  • C. Gaslamp
    Gaslamp is the common nickname for San Diego’s historic Gaslamp Quarter, a downtown district known for its Victorian-era architecture, nightlife, and entertainment.
  • D. De Gas
    De Gas is the family name of the French artist Auguste De Gas, associated with the lineage of the renowned painter Edgar Degas.
  • E. GAS
    GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59056bb48190ba1e0b5beda9bdc4 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa33103081909e83155f712b821f completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:10 p.m.