Triple

T14958756
Position Surface form Disambiguated ID Type / Status
Subject Vittorio Gassman E373003 entity
Predicate familyName P18 FINISHED
Object Gassman
Gassman is an Italian surname most famously associated with Vittorio Gassman, a renowned 20th-century film and theater actor.
 E1128903 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: Gassman | Statement: [Vittorio Gassman, familyName, Gassman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gassman
Context triple: [Vittorio Gassman, familyName, Gassman]
  • A. Glassman
    Glassman is a surname of likely Ashkenazi Jewish origin borne by various individuals, including academics, professionals, and public figures.
  • B. Sattanen
    Sattanen is a small village located within the municipality of Sodankylä in Finnish Lapland.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • E. Vogelmann
    Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
  • 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: Gassman
Triple: [Vittorio Gassman, familyName, Gassman]
Generated description
Gassman is an Italian surname most famously associated with Vittorio Gassman, a renowned 20th-century film and theater actor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gassman
Target entity description: Gassman is an Italian surname most famously associated with Vittorio Gassman, a renowned 20th-century film and theater actor.
  • A. Glassman
    Glassman is a surname of likely Ashkenazi Jewish origin borne by various individuals, including academics, professionals, and public figures.
  • B. Sattanen
    Sattanen is a small village located within the municipality of Sodankylä in Finnish Lapland.
  • C. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • D. Jungmann
    Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
  • E. Vogelmann
    Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cd85bc81909040b7ff78f62554 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7ea1d78c81909b877fda05ef9231 completed May 9, 2026, 12:24 a.m.
NEDg Description generation batch_69fe7ff5c84c8190b3e97f09633bf181 completed May 9, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 10, 2026, 2:40 a.m.