Triple

T9695523
Position Surface form Disambiguated ID Type / Status
Subject Frank Grillo E234639 entity
Predicate familyName P18 FINISHED
Object Grillo
Grillo is an Italian surname most notably associated with American actor Frank Grillo, known for his roles in action and thriller films.
E815846 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: Grillo | Statement: [Frank Grillo, familyName, Grillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grillo
Context triple: [Frank Grillo, familyName, Grillo]
  • A. Pulga
    Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
  • B. Lagarteiru
    Lagarteiru is a regional dialect of the Fala language spoken in a small area of Extremadura in western Spain.
  • C. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • D. Porochilus
    Porochilus is a genus of eel-tailed catfishes native to freshwater habitats in Australia and New Guinea.
  • E. Rizo
    Rizo is a small settlement within the Municipality of Missolonghi in western Greece.
  • 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: Grillo
Triple: [Frank Grillo, familyName, Grillo]
Generated description
Grillo is an Italian surname most notably associated with American actor Frank Grillo, known for his roles in action and thriller films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grillo
Target entity description: Grillo is an Italian surname most notably associated with American actor Frank Grillo, known for his roles in action and thriller films.
  • A. Pulga
    Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
  • B. Lagarteiru
    Lagarteiru is a regional dialect of the Fala language spoken in a small area of Extremadura in western Spain.
  • C. Pichini
    Pichini is a small locality (frazione) within the municipality of Guidonia Montecelio in the Lazio region of central Italy.
  • D. Porochilus
    Porochilus is a genus of eel-tailed catfishes native to freshwater habitats in Australia and New Guinea.
  • E. Rizo
    Rizo is a small settlement within the Municipality of Missolonghi in western Greece.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d366c488190bc153c68fef197c2 completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1912216d481909f6a0f977d570a93 completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d1926e9154819086be60bd6fa55453 completed April 4, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69d19611bbe08190b1893727c1fa05ce completed April 4, 2026, 10:52 p.m.
Created at: March 30, 2026, 8:17 p.m.