Triple
T10009533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newman family |
E198335
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Maria Newman |
E119151
|
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: Maria Newman | Statement: [Newman family, hasMember, Maria Newman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Newman Context triple: [Newman family, hasMember, Maria Newman]
-
A.
Maria Newman
chosen
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.
-
B.
Mary Newman
Mary Newman was the first wife of the English sea captain and explorer Sir Francis Drake in the late 16th century.
-
C.
Sandra Newman
Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
-
D.
Karen McCullah Lutz
Karen McCullah Lutz is an American screenwriter best known for co-writing popular romantic comedies such as "10 Things I Hate About You," "Legally Blonde," and "The House Bunny."
-
E.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd39e074819097f77a4d4bf7856e |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3172a7d108190895dad463e7e5423 |
completed | April 6, 2026, 2:15 a.m. |
Created at: March 30, 2026, 8:52 p.m.