Triple
T15308961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woodsman |
E365976
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Lisa Fruchtman |
E302533
|
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: Lisa Fruchtman | Statement: [The Woodsman, editedBy, Lisa Fruchtman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Fruchtman Context triple: [The Woodsman, editedBy, Lisa Fruchtman]
-
A.
Lisa Fruchtman
chosen
Lisa Fruchtman is an American film editor known for her work on major films such as "Apocalypse Now" and for winning an Academy Award for Best Film Editing.
-
B.
Lilian Blumberg
Lilian Blumberg was the mother of British actor and filmmaker Leslie Howard.
-
C.
Lillian Roth
Lillian Roth was an American singer and stage and screen actress known for her early success in Hollywood musicals and her later public struggle with alcoholism and recovery.
-
D.
Barbara Goldner
Barbara Goldner is known as the wife of the late Brian Goldner, the former CEO of Hasbro.
-
E.
Tillie Edelstein
Tillie Edelstein was the birth name of Gertrude Berg, the pioneering American actress, writer, and producer best known for creating and starring in the radio and television series "The Goldbergs."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e1b698819098930596327340d7 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 3:16 a.m.