Triple
T15495878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Boren |
E378814
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Molly Shi Boren |
E376580
|
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: Molly Shi Boren | Statement: [Dan Boren, mother, Molly Shi Boren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Shi Boren Context triple: [Dan Boren, mother, Molly Shi Boren]
-
A.
Molly Shi Boren
chosen
Molly Shi Boren is an American educator and former first lady of the University of Oklahoma, known for her leadership in education and community service.
-
B.
Molly Punderson
Molly Punderson was the wife of American illustrator Norman Rockwell and a figure in his early personal life and career.
-
C.
Emily Wei Rales
Emily Wei Rales is an American art curator and collector, best known as the co-founder and director of Glenstone, a contemporary art museum in Potomac, Maryland.
-
D.
Molly Mickler Smith
Molly Mickler Smith is a film producer known for her work on the romantic comedy "Something Borrowed."
-
E.
Molly Jensen
Molly Jensen is a central character in the romantic fantasy film "Ghost," known as the grieving artist whose love transcends death.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3662f3388190b75ffe3ce418f36d |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:52 a.m.