Triple
T4484209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menzies |
E107196
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Heather Menzies-Urich |
E446666
|
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: Heather Menzies-Urich | Statement: [Menzies, hasNotableBearer, Heather Menzies-Urich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Menzies-Urich Context triple: [Menzies, hasNotableBearer, Heather Menzies-Urich]
-
A.
Heather Menzies
chosen
Heather Menzies was a Canadian-born actress best known for playing Louisa von Trapp in the classic film "The Sound of Music."
-
B.
Catherine Durkan
Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
-
C.
Lalla Ward
Lalla Ward is an English actress and author best known for playing the Time Lady Romana in the long-running British science fiction series Doctor Who.
-
D.
Katherine Patrick
Katherine Patrick is the daughter of former Massachusetts governor Deval Patrick and has occasionally appeared in public alongside her politically prominent family.
-
E.
Suzanne Mackie
Suzanne Mackie is a British television and film producer known for her work on acclaimed projects such as "The Crown" and other high-profile UK dramas.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52a54c6c8190a7421bea6e3c00f1 |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f7f33d08190a247e956193c7eef |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 12:58 p.m.