Triple
T19446829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynda Menzies |
E486499
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Lynda |
—
|
NE NERFINISHED |
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: Lynda | Statement: [Lynda Menzies, hasGivenName, Lynda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynda Context triple: [Lynda Menzies, hasGivenName, Lynda]
-
A.
Lynda Gold
Lynda Gold is an actress known for appearing in the 1974 women-in-prison exploitation film "Caged Heat."
-
B.
Lynda Jane
Lynda Jane is known as the wife of prominent Australian tyre retailer and racing driver Bob Jane.
-
C.
Lynda Resnick
Lynda Resnick is an American billionaire businesswoman and philanthropist known for co-owning The Wonderful Company and for her extensive arts and cultural patronage.
-
D.
Lynda Myles
Lynda Myles is a British film producer and former director of the Edinburgh International Film Festival, known for her influential role in independent and European cinema.
-
E.
Lynda Dryden
Lynda Dryden is the wife of former NHL goaltender and Canadian politician Ken Dryden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338a22608190bb31a1690ca0dab6 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.