Triple

T15651844
Position Surface form Disambiguated ID Type / Status
Subject The Sick Goat E376330 entity
Predicate hasTitle P38 FINISHED
Object The Sick Goat E376330 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 Sick Goat | Statement: [The Sick Goat, hasTitle, The Sick Goat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sick Goat
Context triple: [The Sick Goat, hasTitle, The Sick Goat]
  • A. The Sick Goat chosen
    "The Sick Goat" is a 17th-century pastoral genre painting by Dutch Golden Age artist Karel Dujardin, known for its detailed depiction of animals and rural life.
  • B. The Goat
    "The Goat" is a 1921 silent comedy short film starring Buster Keaton, known for its inventive gags and Keaton’s deadpan physical comedy.
  • C. The Yellow Cow
    The Yellow Cow is a famous 1911 Expressionist painting by German artist Franz Marc, depicting a brightly colored, leaping cow in a vivid, abstract landscape.
  • D. The Judas Sheep
    The Judas Sheep is a crime novel by Paula Gosling featuring a tense, character-driven investigation set against a backdrop of moral ambiguity and betrayal.
  • E. The Cow
    The Cow is a landmark 1969 Iranian drama film directed by Dariush Mehrjui that is widely credited with helping launch the Iranian New Wave.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eeed2d48190a7a8a618d90012d0 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6797954c8190ac05ee3db634efa7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.