Triple

T15566995
Position Surface form Disambiguated ID Type / Status
Subject The Tiger and the Snow E371141 entity
Predicate editedBy P1954 FINISHED
Object Simona Paggi E934869 NE FINISHED

How this triple was built (2 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: Simona Paggi | Statement: [The Tiger and the Snow, editedBy, Simona Paggi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simona Paggi
Context triple: [The Tiger and the Snow, editedBy, Simona Paggi]
  • A. Simona Paggi chosen
    Simona Paggi is an Italian film editor best known for her work on the acclaimed film "Life Is Beautiful."
  • B. Susanna Proietti
    Susanna Proietti is an Italian figure known primarily as the daughter of celebrated actor and comedian Gigi Proietti.
  • C. Amalia Simoni
    Amalia Simoni was a Cuban patriot and heroine best known for her steadfast support of the independence cause and her marriage to revolutionary leader Ignacio Agramonte.
  • D. Simone Trovai
    Simone Trovai is the central protagonist of the opera "Violanta," around whom the drama’s emotional and narrative conflicts revolve.
  • E. Susanna Nicchiarelli
    Susanna Nicchiarelli is an Italian film director and screenwriter known for her character-driven dramas and biographical films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4219a081909acca9f783ecd44b completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.