Triple

T13105121
Position Surface form Disambiguated ID Type / Status
Subject Annabella Sciorra E310824 entity
Predicate name P16 FINISHED
Object Annabella Sciorra E310824 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: Annabella Sciorra | Statement: [Annabella Sciorra, name, Annabella Sciorra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annabella Sciorra
Context triple: [Annabella Sciorra, name, Annabella Sciorra]
  • A. Annabella Sciorra chosen
    Annabella Sciorra is an American actress known for her work in film and television, including acclaimed roles in movies like "Jungle Fever" and the TV series "The Sopranos."
  • B. Téa Leoni
    Téa Leoni is an American actress and producer best known for her leading roles in film and television, including the political drama series "Madam Secretary."
  • C. Elizabeth Berkley
    Elizabeth Berkley is an American actress best known for her roles in the TV series "Saved by the Bell" and the film "Showgirls."
  • D. Claudia Rose Pfeiffer
    Claudia Rose Pfeiffer is the adopted daughter of acclaimed American actress Michelle Pfeiffer.
  • E. Allison Hunt
    Allison Hunt is a fictional character in the television series "Grey's Anatomy," known primarily as the deceased sister of trauma surgeon Owen Hunt, whose death deeply affects his storyline.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:05 p.m.