Triple
T17409622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Bonimenteur |
E423312
|
entity |
| Predicate | titleMeaning |
P4542
|
FINISHED |
| Object | The Pitchman |
—
|
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: The Pitchman | Statement: [Le Bonimenteur, titleMeaning, The Pitchman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Pitchman Context triple: [Le Bonimenteur, titleMeaning, The Pitchman]
-
A.
The Pitchman
chosen
"The Pitchman" is a Malcolm Gladwell essay that profiles legendary television infomercial salesman Ron Popeil to explore the art and psychology of modern product marketing.
-
B.
Mr. Five Percent
Mr. Five Percent is the nickname of Calouste Gulbenkian, an influential Armenian-British oil magnate and philanthropist who played a key role in shaping the early global petroleum industry.
-
C.
Rainmaker
"Rainmaker" is a song by Bruce Springsteen featured on his 2020 studio album "Letter to You."
-
D.
The Rainmaker
The Rainmaker is a 1997 legal drama film based on John Grisham’s novel, centered on a young lawyer taking on a powerful insurance company.
-
E.
The Rainmaker
The Rainmaker is a 1956 romantic drama film, based on N. Richard Nash’s play, about a charismatic con man who promises to bring rain to a drought-stricken town while transforming the lives of its residents.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0990f48190b62d73087ae1a0d7 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.