Triple
T7950887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fever Pitch (2005 film) |
E184609
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object | A Boston schoolteacher obsessed with the Red Sox struggles to balance his baseball fandom with his romantic relationship. |
—
|
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: A Boston schoolteacher obsessed with the Red Sox struggles to balance his baseball fandom with his romantic relationship. | Statement: [Fever Pitch (2005 film), plotSummary, A Boston schoolteacher obsessed with the Red Sox struggles to balance his baseball fandom with his romantic relationship.]
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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
Created at: March 30, 2026, 5:10 p.m.