Triple
T8885612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Ann Sainsbury |
E211521
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mary Ann |
E96798
|
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 Ann | Statement: [Mary Ann Sainsbury, givenName, Mary Ann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Ann Context triple: [Mary Ann Sainsbury, givenName, Mary Ann]
-
A.
Mary Ann
"Mary Ann" is a song by the American punk rock band Squirtgun, recognized as one of their more notable tracks.
-
B.
Mary Ann
chosen
Mary Ann is the namesake of the city of Marianna in Florida.
-
C.
Mary Ann Pearce
Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
-
D.
Betsy
Betsy is a key female character in the 1976 film "Taxi Driver," known as the idealistic campaign worker who becomes the object of Travis Bickle’s fixation.
-
E.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabd9971c81909d1437a52e906813 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.