Triple
T18731496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Marcy May Marlene |
E458044
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Zachary Stuart-Pontier |
—
|
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: Zachary Stuart-Pontier | Statement: [Martha Marcy May Marlene, editedBy, Zachary Stuart-Pontier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zachary Stuart-Pontier Context triple: [Martha Marcy May Marlene, editedBy, Zachary Stuart-Pontier]
-
A.
Zachary Stuart-Pontier
chosen
Zachary Stuart-Pontier is an American film editor and producer known for his work on independent films and documentaries, including the boxing drama "Bleed for This."
-
B.
Zachary Parker
Zachary Parker is a Washington, D.C. politician who serves on the Council of the District of Columbia representing Ward 5.
-
C.
Zachary De Pue
Zachary De Pue is an American violinist best known as a founding member and former violinist of the genre-blending string trio Time for Three.
-
D.
Zachary Galler
Zachary Galler is a cinematographer best known for his work on the science-fiction film "Prospect."
-
E.
Zachary Fisher
Zachary Fisher was an American real estate developer and philanthropist best known for preserving historic military ships and founding charitable organizations supporting U.S. service members and their families.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.