Triple
T20753034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadowland |
E510779
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Margot Hand |
—
|
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: Margot Hand | Statement: [Meadowland, producer, Margot Hand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margot Hand Context triple: [Meadowland, producer, Margot Hand]
-
A.
Margot Hand
chosen
Margot Hand is a film producer known for her work on the 2021 drama "Passing."
-
B.
Margot Bennett
Margot Bennett is an American actress and former publicist best known for her marriage to British actor Malcolm McDowell.
-
C.
Margot Mills
Margot Mills is the sharp-witted, skeptical young woman at the center of the dark comedy horror film "The Menu," whose outsider perspective drives much of the film’s tension and critique of haute cuisine culture.
-
D.
Margot Wendice
Margot Wendice is the wealthy wife targeted in her husband's elaborate murder plot in Alfred Hitchcock's thriller "Dial M for Murder."
-
E.
Margot Tyler
Margot Tyler is a supporting character in the 2008 martial arts drama film "Never Back Down," involved in the high school conflicts and relationships surrounding underground fighting.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22be6588190b137193cb3184fc0 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.