Triple
T2869523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Goose |
E63524
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mary Goose |
E63524
|
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 Goose | Statement: [Mary Goose, name, Mary Goose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Goose Context triple: [Mary Goose, name, Mary Goose]
-
A.
Mary Goose
chosen
Mary Goose is a historical figure buried in Boston’s Granary Burying Ground, sometimes associated in legend with the origins of the “Mother Goose” nursery rhymes.
-
B.
Father Goose
Father Goose is a 1964 romantic comedy film starring Cary Grant and Leslie Caron, set on a remote Pacific island during World War II.
-
C.
Nightingale
Nightingale is the surname of Florence Nightingale, the pioneering 19th-century nurse and social reformer widely regarded as the founder of modern nursing.
-
D.
Nightingale
Nightingale is a 2014 psychological drama film featuring David Oyelowo in an intense, largely single-character performance as a mentally unstable war veteran.
-
E.
Lark
Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe15ff081908dd1dad62c292b2b |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01dabb19c8190822ac992ab764446 |
completed | March 10, 2026, 1:33 p.m. |
Created at: March 6, 2026, 10:02 p.m.