Triple
T9741077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Strings Attached |
E236185
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Dana E. Glauberman |
E242460
|
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: Dana E. Glauberman | Statement: [No Strings Attached, editor, Dana E. Glauberman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana E. Glauberman Context triple: [No Strings Attached, editor, Dana E. Glauberman]
-
A.
Dana Glauberman
chosen
Dana Glauberman is an American film editor known for her work on numerous high-profile feature films and collaborations with director Jason Reitman.
-
B.
Michael A. Helfant
Michael A. Helfant is a film producer and entertainment executive known for his work on genre and thriller projects, including the 2013 crime thriller "The Call."
-
C.
Douglas L. Meyer
Douglas L. Meyer is a theatrical producer best known for his work on the hit 2001 Broadway musical "The Producers."
-
D.
Barry W. Blaustein
Barry W. Blaustein is an American screenwriter and producer best known for co-writing hit Eddie Murphy comedies such as "Coming to America" and "The Nutty Professor" films.
-
E.
Evan A. Lottman
Evan A. Lottman was an American film editor known for his work on acclaimed films including the adaptation of "Sophie's Choice."
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2af3e48190b83a442cd0e84062 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3ff403c8190892400c6d3257087 |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:23 p.m.