Triple

T14413310
Position Surface form Disambiguated ID Type / Status
Subject The Legend of Hercules E357384 entity
Predicate screenwriter P2831 FINISHED
Object Giulio Steve
Giulio Steve is a screenwriter known for his work on the mythological action film "The Legend of Hercules."
E1097656 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: Giulio Steve | Statement: [The Legend of Hercules, screenwriter, Giulio Steve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giulio Steve
Context triple: [The Legend of Hercules, screenwriter, Giulio Steve]
  • A. Giuliano Gemma
    Giuliano Gemma was an Italian actor best known for his charismatic leading roles in 1960s and 1970s European Western films.
  • B. Leo Rossi
    Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
  • C. Giovanni De Vecchi
    Giovanni De Vecchi was a late Renaissance Italian painter known for his Mannerist frescoes and contributions to major decorative cycles in prominent Roman and Lazio palaces and churches.
  • D. Giancarlo Peris
    Giancarlo Peris is an Italian former athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1960 Rome Summer Games.
  • E. Leo Benvenuti
    Leo Benvenuti is an American screenwriter best known for co-writing popular family comedies such as "The Santa Clause" and "Kicking & Screaming."
  • 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: Giulio Steve
Triple: [The Legend of Hercules, screenwriter, Giulio Steve]
Generated description
Giulio Steve is a screenwriter known for his work on the mythological action film "The Legend of Hercules."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Giulio Steve
Target entity description: Giulio Steve is a screenwriter known for his work on the mythological action film "The Legend of Hercules."
  • A. Giuliano Gemma
    Giuliano Gemma was an Italian actor best known for his charismatic leading roles in 1960s and 1970s European Western films.
  • B. Leo Rossi
    Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
  • C. Giovanni De Vecchi
    Giovanni De Vecchi was a late Renaissance Italian painter known for his Mannerist frescoes and contributions to major decorative cycles in prominent Roman and Lazio palaces and churches.
  • D. Giancarlo Peris
    Giancarlo Peris is an Italian former athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1960 Rome Summer Games.
  • E. Leo Benvenuti
    Leo Benvenuti is an American screenwriter best known for co-writing popular family comedies such as "The Santa Clause" and "Kicking & Screaming."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd5671e4688190ab1b7a7ed6c0cfb8 completed May 8, 2026, 3:20 a.m.
NED2 Entity disambiguation (via description) batch_69fd57710f648190a1344ac1363acce1 completed May 8, 2026, 3:24 a.m.
Created at: April 10, 2026, 1:17 a.m.