Triple
T18140547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberly Peirce |
E434248
|
entity |
| Predicate | wrote |
P2831
|
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, wrote, Stop-Loss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stop-Loss Context triple: [Kimberly Peirce, wrote, 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_69e4de0b67308190ae3be2dbff99910a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.