Triple
T21137985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sol Stein |
E520862
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sol Stein |
—
|
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: Sol Stein | Statement: [Sol Stein, name, Sol Stein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sol Stein Context triple: [Sol Stein, name, Sol Stein]
-
A.
Sol Stein
chosen
Sol Stein was an American author, editor, and publisher best known for his influential work in fiction writing and for founding the publishing house Stein and Day.
-
B.
Edwin Schlossberg
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
-
C.
Fred Raskin
Fred Raskin is an American film editor best known for his work on several Quentin Tarantino films, including "Django Unchained," "The Hateful Eight," and "Once Upon a Time in Hollywood."
-
D.
Bruce Wasserstein
Bruce Wasserstein was a prominent American investment banker and dealmaker, best known for his leadership at Lazard and his major role in shaping modern Wall Street mergers and acquisitions.
-
E.
Daniel Sackheim
Daniel Sackheim is an American television director and producer known for his work on acclaimed series such as The X-Files, NYPD Blue, and Game of Thrones.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7235d1c788190a28577a753532b2a |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:57 p.m.