Triple

T18140523
Position Surface form Disambiguated ID Type / Status
Subject Kimberly Peirce E434248 entity
Predicate notableWork P4 FINISHED
Object Stop-Loss 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: Stop-Loss | Statement: [Kimberly Peirce, notableWork, Stop-Loss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stop-Loss
Context triple: [Kimberly Peirce, notableWork, Stop-Loss]
  • A. Stop-Loss chosen
    Stop-Loss is a 2008 American drama film about a U.S. soldier involuntarily redeployed to Iraq under the military's controversial stop-loss policy.
  • B. Losses
    "Losses" is a World War II–themed poetry collection by American poet and critic Randall Jarrell, noted for its stark, psychologically acute portrayal of soldiers’ experiences in aerial warfare.
  • C. Price Loss Coverage program
    The Price Loss Coverage program is a U.S. farm support program that provides payments to producers when market prices for covered commodities fall below legislatively set reference prices.
  • D. Limit Up
    Limit Up is a 1989 fantasy-comedy film about a young female commodities trader who makes a deal with a devilish figure to achieve success in the Chicago futures market.
  • E. Lossie
    Lossie is a river in northeast Scotland that flows through Moray before entering the North Sea at Lossiemouth.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.