Triple

T20330564
Position Surface form Disambiguated ID Type / Status
Subject Jack Scalia E492466 entity
Predicate name P16 FINISHED
Object Jack Scalia NE NERFINISHED

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: Jack Scalia | Statement: [Jack Scalia, name, Jack Scalia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Scalia
Context triple: [Jack Scalia, name, Jack Scalia]
  • A. Jack Scalia chosen
    Jack Scalia is an American actor known for his roles in television series and films, particularly in the 1980s and 1990s.
  • B. Antonin Scalia
    Antonin Scalia was a prominent conservative U.S. Supreme Court Justice known for his originalist and textualist approach to constitutional interpretation.
  • C. Samuel A. Alito Jr.
    Samuel A. Alito Jr. is an Associate Justice of the U.S. Supreme Court, known for his conservative jurisprudence and influential opinions on issues such as abortion, religious liberty, and executive power.
  • D. John Roberts
    John Roberts was an American entrepreneur and heir who became best known as one of the principal financial backers and co-producers of the iconic 1969 Woodstock music festival.
  • E. John Roberts
    John Roberts is an American actor and comedian best known for voicing Linda Belcher on the animated television series "Bob's Burgers."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e6f5d08190bedf376bbb999ebc completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.