Triple
T10555687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Schamus |
E249080
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | James Schamus |
E249080
|
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: James Schamus | Statement: [James Schamus, name, James Schamus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Schamus Context triple: [James Schamus, name, James Schamus]
-
A.
James Schamus
chosen
James Schamus is an American screenwriter, producer, and former CEO of Focus Features, known for his collaborations with director Ang Lee on acclaimed films such as "Crouching Tiger, Hidden Dragon" and "Brokeback Mountain."
-
B.
Howard Gordon
Howard Gordon is an American television writer and producer best known for his work on acclaimed series such as "24" and "Homeland."
-
C.
Robert Towne
Robert Towne is an acclaimed American screenwriter and director best known for writing the Oscar-winning screenplay for "Chinatown" and contributing to several other landmark films of the New Hollywood era.
-
D.
Eric Lange
Eric Lange is an American character actor known for his roles in television series such as Victorious, Lost, and Narcos.
-
E.
James Schoonmaker
James Schoonmaker is a fictional character from P. G. Wodehouse’s comic novel "Service with a Smile," set in the Blandings Castle universe.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52712a9988190bf63e7c47f6e6fc1 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9347ae67081909cb2c3911cb1be67 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:34 p.m.