Triple

T3353749
Position Surface form Disambiguated ID Type / Status
Subject Armand Assante E70556 entity
Predicate familyName P18 FINISHED
Object Assante
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
 E351738 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: Assante | Statement: [Armand Assante, familyName, Assante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Assante
Context triple: [Armand Assante, familyName, Assante]
  • A. Antistia
    Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
  • B. Afantou
    Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
  • C. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • D. Antu
    Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
  • E. Antu
    Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
  • 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: Assante
Triple: [Armand Assante, familyName, Assante]
Generated description
Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Assante
Target entity description: Assante is the surname of Armand Assante, an American actor known for his intense screen presence and roles in films and television dramas.
  • A. Antistia
    Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
  • B. Afantou
    Afantou is a village and seaside resort on the island of Rhodes in Greece, known for its long beach and traditional character.
  • C. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • D. Antu
    Antu is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory at Paranal in Chile.
  • E. Antu
    Antu is a Mesopotamian sky and mother goddess, best known as the consort of the supreme god Anu in ancient Sumerian and Akkadian religion.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb24036848190bac779d17dfdce3b completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325373a1c8190b26d883e2f0dd92b completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b329016c7c819098b494ae5d712036 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b329aca800819091f287a2f00557a2 completed March 12, 2026, 9:01 p.m.
Created at: March 8, 2026, 3:13 p.m.