Triple

T2007905
Position Surface form Disambiguated ID Type / Status
Subject A Damsel in Distress E43626 entity
Predicate screenwriter P2831 FINISHED
Object Ernest Pagano E224415 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: Ernest Pagano | Statement: [A Damsel in Distress, screenwriter, Ernest Pagano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Pagano
Context triple: [A Damsel in Distress, screenwriter, Ernest Pagano]
  • A. Ernest Pagano chosen
    Ernest Pagano was an American screenwriter best known for his work on Hollywood musical comedies in the 1930s and 1940s.
  • B. Tony DiCicco
    Tony DiCicco was an American soccer coach best known for leading the U.S. women’s national team to victory in the 1996 Olympics and the 1999 FIFA Women’s World Cup.
  • C. Tedy Bruschi
    Tedy Bruschi is a former NFL linebacker best known for his long, successful career with the New England Patriots, where he won multiple Super Bowls and became a team leader and fan favorite.
  • D. Gene Keady
    Gene Keady is a highly respected American college basketball coach best known for his long, successful tenure leading the Purdue Boilermakers.
  • E. Ernie Sabella
    Ernie Sabella is an American actor and voice actor best known for voicing the warthog Pumbaa in Disney’s The Lion King franchise.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe068ac8190b0999e4f881d134a completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.