Triple

T12565542
Position Surface form Disambiguated ID Type / Status
Subject Larry Semon E295467 entity
Predicate notableWork P4 FINISHED
Object The Bakery
The Bakery is a 1921 silent comedy film starring and co-directed by slapstick comedian Larry Semon.
 E988860 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: The Bakery | Statement: [Larry Semon, notableWork, The Bakery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Bakery
Context triple: [Larry Semon, notableWork, The Bakery]
  • A. The Baker
    The Baker is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting a baker at work in a detailed, everyday scene.
  • B. Le Gâteau
    Le Gâteau is one of the short prose poems in Charles Baudelaire’s collection *Le Spleen de Paris*, exemplifying his exploration of modern urban life and existential melancholy.
  • C. La Pâtisserie
    La Pâtisserie is a genre painting by French artist Jean Béraud that vividly captures Parisian bourgeois life inside a pastry shop during the late 19th century.
  • D. Las Galletas
    Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
  • E. The Basket of Bread
    The Basket of Bread is a still-life painting by Salvador Dalí that exemplifies his meticulous realism and symbolic exploration of everyday objects.
  • 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: The Bakery
Triple: [Larry Semon, notableWork, The Bakery]
Generated description
The Bakery is a 1921 silent comedy film starring and co-directed by slapstick comedian Larry Semon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Bakery
Target entity description: The Bakery is a 1921 silent comedy film starring and co-directed by slapstick comedian Larry Semon.
  • A. The Baker
    The Baker is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting a baker at work in a detailed, everyday scene.
  • B. Le Gâteau
    Le Gâteau is one of the short prose poems in Charles Baudelaire’s collection *Le Spleen de Paris*, exemplifying his exploration of modern urban life and existential melancholy.
  • C. La Pâtisserie
    La Pâtisserie is a genre painting by French artist Jean Béraud that vividly captures Parisian bourgeois life inside a pastry shop during the late 19th century.
  • D. Las Galletas
    Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
  • E. The Basket of Bread
    The Basket of Bread is a still-life painting by Salvador Dalí that exemplifies his meticulous realism and symbolic exploration of everyday objects.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a86ff48190bd3debd30e11df80 completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f657aec8fc8190b3b08ccb95595958 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 11:49 p.m.