Triple
T17084452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bachelor Party |
E414558
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Marjorie Fowler |
—
|
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: Marjorie Fowler | Statement: [The Bachelor Party, editedBy, Marjorie Fowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjorie Fowler Context triple: [The Bachelor Party, editedBy, Marjorie Fowler]
-
A.
Marjorie Fowler
chosen
Marjorie Fowler was an American film editor known for her work on numerous Hollywood productions from the 1950s through the 1970s.
-
B.
Marjorie Winfield
Marjorie Winfield is the wholesome, small-town teenage heroine of the nostalgic musical film "By the Light of the Silvery Moon," navigating family life and young romance in early 20th-century America.
-
C.
Marjorie Nelson
Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
-
D.
Marjorie Reynolds
Marjorie Reynolds was an American film and television actress best known for her roles in classic 1940s movies and early TV series.
-
E.
Marjorie Bennett
Marjorie Bennett was an Australian-born character actress known for her numerous supporting roles in Hollywood films and television from the silent era through the mid-20th century.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe60d588190963ccd4c86af1233 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:35 a.m.