Triple
T18425847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Pressfield |
E442138
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steven Pressfield |
—
|
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: Steven Pressfield | Statement: [Steven Pressfield, name, Steven Pressfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Pressfield Context triple: [Steven Pressfield, name, Steven Pressfield]
-
A.
Steven Pressfield
chosen
Steven Pressfield is an American author and screenwriter best known for his historical war novels such as "Gates of Fire" and his inspirational non-fiction work "The War of Art."
-
B.
Robert Zane
Robert Zane is a prominent, high-powered attorney in the television series "Suits" and the father of paralegal-turned-lawyer Rachel Zane.
-
C.
Eric Van Lustbader
Eric Van Lustbader is an American novelist best known for his thrillers and for continuing Robert Ludlum’s Jason Bourne series.
-
D.
Jon Cassar
Jon Cassar is a Canadian director and producer best known for his work on the television series "24" and various high-profile TV miniseries and dramas.
-
E.
Andrew Klavan
Andrew Klavan is an American novelist and screenwriter best known for his suspense and crime thrillers, several of which have been adapted into films.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51b12606081908ea320fd8d5554c6 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 10:47 a.m.