Triple

T12880854
Position Surface form Disambiguated ID Type / Status
Subject Gainsborough E308087 entity
Predicate notableWork P4 FINISHED
Object The Watering Place E642424 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: The Watering Place | Statement: [Gainsborough, notableWork, The Watering Place]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Watering Place
Context triple: [Gainsborough, notableWork, The Watering Place]
  • A. The Watering Place chosen
    The Watering Place is an 18th-century pastoral landscape painting by Thomas Gainsborough, depicting cattle and figures in a tranquil rural setting.
  • B. The Bathhouse
    "The Bathhouse" is a satirical play by Vladimir Mayakovsky that critiques Soviet bureaucracy and social stagnation through absurdist, futuristic comedy.
  • C. Drinking at the Dam
    "Drinking at the Dam" is a melancholic folk song by Smog (Bill Callahan) known for its sparse instrumentation and reflective, narrative lyrics.
  • D. Down to the River
    "Down to the River" is the debut studio album by the Allman Betts Band, showcasing their modern take on Southern rock rooted in the legacy of the Allman Brothers Band.
  • E. The Corner That Held Them
    The Corner That Held Them is a 1948 novel by Sylvia Townsend Warner that portrays several centuries in the life of a medieval English convent through a series of episodic, quietly ironic vignettes.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bbb735c8190a08683a6183e60c4 completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:39 p.m.