Triple
T18034268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou McDonald |
E431466
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mary Louise |
—
|
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: Mary Louise | Statement: [Mary Lou McDonald, givenName, Mary Louise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Louise Context triple: [Mary Lou McDonald, givenName, Mary Louise]
-
A.
Mary Louise
chosen
Mary Louise is the given first name of Irish politician Mary Lou McDonald, leader of the Sinn Féin party.
-
B.
Mary Louise May
Mary Louise May was the wife of American character actor Ward Bond, known for his prolific roles in classic Hollywood films and the television series "Wagon Train."
-
C.
Mary Marie
Mary Marie is a novel by Eleanor H. Porter, best known as the author of "Pollyanna," and features a young girl navigating the emotional upheaval of her parents’ divorce.
-
D.
Mary Elizabeth
Mary Elizabeth is a sharp, outspoken, and intellectually driven high school student who is part of Charlie's friend group in *The Perks of Being a Wallflower*.
-
E.
Mary Josephine
Mary Josephine is the birth name of Mae Capone, the wife of notorious American gangster Al Capone.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be38766c8190ae95701f4575469c |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.