Triple
T3062058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lou Jepsen |
E62016
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mary Lou |
E78439
|
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 Lou | Statement: [Mary Lou Jepsen, givenName, Mary Lou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Lou Context triple: [Mary Lou Jepsen, givenName, Mary Lou]
-
A.
Mary Lou
chosen
Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
-
B.
Maria Andrews
Maria Andrews is an American woman known primarily as the wife of businessman Neil Bush, a member of the prominent Bush political family.
-
C.
Mary-Lou
Mary-Lou is a timid, kind-hearted schoolgirl who appears as one of the students in Enid Blyton’s Malory Towers series.
-
D.
Mabel Jones
Mabel Jones is the daughter of the fictional diarist and protagonist Bridget Jones from Helen Fielding’s popular "Bridget Jones" series.
-
E.
Maria Cooley
Maria Cooley was the wife of American landscape painter Jasper Francis Cropsey, a prominent figure of the Hudson River School.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9f33d88190bd481cb7f18ceb91 |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261e211c0819094ef28112bcad250 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:02 p.m.