Triple
T9394639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Orchid Thief |
E226111
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | John Laroche |
E235639
|
NE FINISHED |
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: John Laroche | Statement: [The Orchid Thief, mainSubject, John Laroche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Laroche Context triple: [The Orchid Thief, mainSubject, John Laroche]
-
A.
John Laroche
chosen
John Laroche is a real-life eccentric plant dealer and orchid poacher whose obsessive personality and legal troubles inspired a central character in the film and book "Adaptation."
-
B.
Patrick Lussier
Patrick Lussier is a Canadian film editor, director, and frequent Wes Craven collaborator known for his work in the horror genre.
-
C.
Guy Roche
Guy Roche is a French-born American songwriter and record producer known for his work with major pop and R&B artists in the 1990s and 2000s.
-
D.
Paul Gervais
Paul Gervais was a French painter known for his large-scale decorative works and allegorical murals in prominent public buildings.
-
E.
Roger Taillibert
Roger Taillibert was a French architect renowned for his innovative, sculptural modernist designs, most famously the Olympic Stadium in Montreal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd511150008190be04142e477e8bf1 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110214f088190a972c8534b613873 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:45 p.m.