Triple
T18311194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercedes Kilmer |
E438627
|
entity |
| Predicate | participatedIn |
P149
|
FINISHED |
| Object | Paydirt |
—
|
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: Paydirt | Statement: [Mercedes Kilmer, participatedIn, Paydirt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paydirt Context triple: [Mercedes Kilmer, participatedIn, Paydirt]
-
A.
Paydirt
chosen
Paydirt is a 2020 crime thriller film starring Luke Goss and Val Kilmer that follows an ex-con assembling a crew to recover buried drug money in the California desert.
-
B.
Paymer
Paymer is a surname most notably associated with American character actor David Paymer, known for his extensive work in film and television.
-
C.
Paypay
Paypay is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
-
D.
WePay
WePay is an online payment services company that provides integrated payment processing solutions for platforms, marketplaces, and software providers.
-
E.
Paydirt Pete
Paydirt Pete is the pickaxe-wielding prospector mascot of the University of Texas at El Paso, symbolizing the school’s mining heritage and athletic spirit.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.