Triple
T37111113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lie with Me (2005 film) |
E918991
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object | Focuses on an intense sexual relationship between two young adults in Toronto and their emotional struggles |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: Focuses on an intense sexual relationship between two young adults in Toronto and their emotional struggles | Statement: [Lie with Me (2005 film), plotSummary, Focuses on an intense sexual relationship between two young adults in Toronto and their emotional struggles]
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_69f76e9b99c8819096164b21ff5bd996 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb3010b42881909f3296448c49c735 |
completed | May 6, 2026, 12:12 p.m. |
Created at: May 3, 2026, 4:14 p.m.