Triple
T11465105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Big Man |
E271760
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dede Allen |
E238651
|
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: Dede Allen | Statement: [Little Big Man, editedBy, Dede Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dede Allen Context triple: [Little Big Man, editedBy, Dede Allen]
-
A.
Dede Allen
chosen
Dede Allen was a pioneering American film editor renowned for her innovative, influential cutting style on landmark movies of the New Hollywood era.
-
B.
Tricia Lott
Tricia Lott is the wife of former U.S. Senator and Senate Majority Leader Trent Lott and is known for her role as a political spouse and public figure in Mississippi.
-
C.
Ronee Blakley
Ronee Blakley is an American actress and singer-songwriter best known for her acclaimed role in Robert Altman’s film "Nashville" and her work in music and film during the 1970s.
-
D.
Susan Allen
Susan Allen is an American public figure best known as the wife of former Virginia governor and U.S. senator George Allen.
-
E.
Carol Kester
Carol Kester is the witty, fast-talking receptionist on the classic American sitcom "The Bob Newhart Show."
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:35 p.m.