Triple

T14167355
Position Surface form Disambiguated ID Type / Status
Subject Crossing Delancey E351113 entity
Predicate playwrightOfSourceWork P36129 FINISHED
Object Susan Sandler E1158717 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: Susan Sandler | Statement: [Crossing Delancey, playwrightOfSourceWork, Susan Sandler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Sandler
Context triple: [Crossing Delancey, playwrightOfSourceWork, Susan Sandler]
  • A. Susan Sandler chosen
    Susan Sandler is an American playwright and screenwriter best known for writing the romantic comedy "Crossing Delancey."
  • B. Sandy Stern
    Sandy Stern is a film producer best known for his work on independent and cult-favorite movies, including the 1990 teen drama "Pump Up the Volume."
  • C. Debra L. Sandler
    Debra L. Sandler is a business executive known for her leadership roles in the consumer goods and food industries, including senior positions at major multinational companies.
  • D. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • E. Pamela Segall
    Pamela Segall is an American actress and voice actress best known for voicing Bobby Hill on the animated television series "King of the Hill."
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff36455f788190a63507ecda42b04c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 1 a.m.