Triple
T21449172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Marcus |
E529161
|
entity |
| Predicate | coWriterWith |
P7870
|
FINISHED |
| Object | Stephen Susco |
—
|
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: Stephen Susco | Statement: [Adam Marcus, coWriterWith, Stephen Susco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Susco Context triple: [Adam Marcus, coWriterWith, Stephen Susco]
-
A.
Stephen Susco
chosen
Stephen Susco is an American screenwriter, director, and producer best known for writing horror films such as "The Grudge" and its sequel.
-
B.
Chris Sussman
Chris Sussman is a British television producer and comedy executive known for overseeing and developing numerous UK sitcoms and comedy series.
-
C.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
D.
Blake Soper
Blake Soper, better known as Blake Sennett, is an American musician and former child actor best known as the guitarist and songwriter for the indie rock band Rilo Kiley.
-
E.
Michael Sucsy
Michael Sucsy is an American film and television director and screenwriter best known for his work on romantic dramas such as "The Vow" and the HBO film "Grey Gardens."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.