Triple
T16296510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave Her to Heaven |
E395660
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mary Philips |
E86777
|
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: Mary Philips | Statement: [Leave Her to Heaven, starring, Mary Philips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Philips Context triple: [Leave Her to Heaven, starring, Mary Philips]
-
A.
Mary Philips
chosen
Mary Philips was an American stage and film actress of the early 20th century, known for her Broadway work and early marriage to Humphrey Bogart.
-
B.
Mary Desha
Mary Desha was an American educator and civic leader best known as one of the four co-founders of the patriotic lineage organization Daughters of the American Revolution.
-
C.
Mary Viola
Mary Viola is a film producer known for her work on projects such as the sports drama "We Are Marshall."
-
D.
Mary Bland
Mary Bland was a member of the prominent Virginia Bland family and the mother of Revolutionary-era planter and politician Henry Lee II.
-
E.
Susanna Drake
Susanna Drake is the central female protagonist of the novel and film "Raintree County," whose complex relationships and personal struggles drive much of the story’s emotional and dramatic tension.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9b42248190a3c8c2647a42aeb9 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.