Triple
T5157112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Newman |
E116338
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mary Newman |
E116338
|
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 Newman | Statement: [Mary Newman, name, Mary Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Newman Context triple: [Mary Newman, name, Mary Newman]
-
A.
Mary Newman
chosen
Mary Newman was the first wife of the English sea captain and explorer Sir Francis Drake in the late 16th century.
-
B.
Maria Newman
Maria Newman is an American composer and violinist known for her concert and film music, and as a member of the prominent Newman family of film composers.
-
C.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
D.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
E.
Kathryn Murphy
Kathryn Murphy is the fictional prosecutor who seeks justice for a brutal sexual assault in the 1988 legal drama film "The Accused."
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7902fbe48190abb58cb0b2b2b62d |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c01f036b7881908a555ff18ca5a9af |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 20, 2026, 1:44 p.m.