Triple

T9111062
Position Surface form Disambiguated ID Type / Status
Subject Baggage Claim E218600 entity
Predicate director P255 FINISHED
Object David E. Talbert E827755 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: David E. Talbert | Statement: [Baggage Claim, director, David E. Talbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David E. Talbert
Context triple: [Baggage Claim, director, David E. Talbert]
  • A. David E. Talbert chosen
    David E. Talbert is an American playwright, author, and filmmaker known for his romantic comedies and stage-to-screen adaptations.
  • B. David M. Satterfield
    David M. Satterfield is an American diplomat and former U.S. ambassador who has held several senior foreign policy roles, including directing Rice University's Baker Institute for Public Policy.
  • C. Daniel E. Rhyne
    Daniel E. Rhyne was an American industrialist and philanthropist whose support and legacy led to the naming of Lenoir–Rhyne University in his honor.
  • D. Adrian B. Talley
    Adrian B. Talley is an American educational leader and administrator who has served as the head of a large suburban Illinois school district.
  • E. Michael J. Weithorn
    Michael J. Weithorn is an American television writer and producer best known for creating and working on several sitcoms, including "Ned and Stacey" and "The King of Queens."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca847102881908f9d86ce9883fb1a completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a3c9c6881908757c63a0ccdc54e completed April 6, 2026, 3:36 a.m.
Created at: March 30, 2026, 7:16 p.m.