Triple
T7850671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocoon |
E182042
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | David Saperstein |
E182042
|
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: David Saperstein | Statement: [Cocoon, author, David Saperstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Saperstein Context triple: [Cocoon, author, David Saperstein]
-
A.
David Saperstein
chosen
David Saperstein is an American author best known for writing the science fiction novel "Cocoon," which was adapted into the popular 1985 film of the same name.
-
B.
William Sheinberg
William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
-
C.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
D.
David B. Cornstein
David B. Cornstein is an American businessman and Republican political appointee who served as the U.S. Ambassador to Hungary under President Donald Trump.
-
E.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde6a2bdd08190897705615109dae0 |
completed | April 2, 2026, 3:46 a.m. |
Created at: March 30, 2026, 4:50 p.m.