Triple

T2325992
Position Surface form Disambiguated ID Type / Status
Subject The Guns of Navarone E48288 entity
Predicate stars P1956 FINISHED
Object Gia Scala
Gia Scala was an Italian-born British-American actress best known for her roles in 1950s and 1960s war and adventure films.
 E255031 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: Gia Scala | Statement: [The Guns of Navarone, stars, Gia Scala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gia Scala
Context triple: [The Guns of Navarone, stars, Gia Scala]
  • A. Giada Colagrande
    Giada Colagrande is an Italian film director, screenwriter, and actress known for her art-house films and frequent collaborations with her husband, actor Willem Dafoe.
  • B. Chiara Nappi
    Chiara Nappi is an Italian theoretical physicist known for her work in string theory and mathematical physics.
  • C. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • D. Laura Mancini
    Laura Mancini was a 17th-century French courtier and one of Cardinal Mazarin’s nieces, known for her influential position at the court of Louis XIV.
  • E. Irene Mecchi
    Irene Mecchi is an American screenwriter and lyricist best known for her work on Disney animated films such as The Lion King, The Hunchback of Notre Dame, and Hercules.
  • 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: Gia Scala
Triple: [The Guns of Navarone, stars, Gia Scala]
Generated description
Gia Scala was an Italian-born British-American actress best known for her roles in 1950s and 1960s war and adventure films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gia Scala
Target entity description: Gia Scala was an Italian-born British-American actress best known for her roles in 1950s and 1960s war and adventure films.
  • A. Giada Colagrande
    Giada Colagrande is an Italian film director, screenwriter, and actress known for her art-house films and frequent collaborations with her husband, actor Willem Dafoe.
  • B. Chiara Nappi
    Chiara Nappi is an Italian theoretical physicist known for her work in string theory and mathematical physics.
  • C. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • D. Laura Mancini
    Laura Mancini was a 17th-century French courtier and one of Cardinal Mazarin’s nieces, known for her influential position at the court of Louis XIV.
  • E. Irene Mecchi
    Irene Mecchi is an American screenwriter and lyricist best known for her work on Disney animated films such as The Lion King, The Hunchback of Notre Dame, and Hercules.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc64b62a08190b5a415769ce42645 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae897004308190bc2e335e9caea2ca completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ace309c8190b57426d1449de723 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b56d8548190aa6a99f3f7d99c3e completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:50 p.m.