Triple

T18154088
Position Surface form Disambiguated ID Type / Status
Subject George Zucco E434582 entity
Predicate familyName P18 FINISHED
Object Zucco
Zucco is a surname most notably associated with British character actor George Zucco, known for his roles in classic horror and mystery films of the 1930s and 1940s.
 E1309819 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: Zucco | Statement: [George Zucco, familyName, Zucco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zucco
Context triple: [George Zucco, familyName, Zucco]
  • A. Lorenzo
    Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
  • B. Lorenzo
    Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
  • C. Baldassarre
    Baldassarre is an Italian surname of likely patronymic or given-name origin, borne by various notable individuals in Italy.
  • D. Carminuccio
    Carminuccio is an affectionate Italian diminutive form of the given name Carmine, often used as a nickname or term of endearment.
  • E. Marcovaldo
    Marcovaldo is a collection of short stories by Italo Calvino that follows a poor city worker whose naive, poetic outlook reveals the clash between nature and urban industrial life.
  • 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: Zucco
Triple: [George Zucco, familyName, Zucco]
Generated description
Zucco is a surname most notably associated with British character actor George Zucco, known for his roles in classic horror and mystery films of the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zucco
Target entity description: Zucco is a surname most notably associated with British character actor George Zucco, known for his roles in classic horror and mystery films of the 1930s and 1940s.
  • A. Lorenzo
    Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
  • B. Lorenzo
    Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
  • C. Baldassarre
    Baldassarre is an Italian surname of likely patronymic or given-name origin, borne by various notable individuals in Italy.
  • D. Carminuccio
    Carminuccio is an affectionate Italian diminutive form of the given name Carmine, often used as a nickname or term of endearment.
  • E. Marcovaldo
    Marcovaldo is a collection of short stories by Italo Calvino that follows a poor city worker whose naive, poetic outlook reveals the clash between nature and urban industrial life.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de3a99c081908e9615072e62b02f completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fbb1f8c8190b20e10f22090a940 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03911462d0819080d6a59fe3b120a1 completed May 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_6a0392a51df48190aab14218f28f129d completed May 12, 2026, 8:50 p.m.
Created at: April 10, 2026, 10:30 a.m.