Triple
T19857738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Duterte |
E477177
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Elizabeth Zimmerman |
—
|
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: Elizabeth Zimmerman | Statement: [Sara Duterte, relative, Elizabeth Zimmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Zimmerman Context triple: [Sara Duterte, relative, Elizabeth Zimmerman]
-
A.
Elizabeth Zimmerman
chosen
Elizabeth Zimmerman is a Filipina former flight attendant best known as the ex-wife of former Philippine president Rodrigo Duterte and the mother of several of his children.
-
B.
Jane Weinzapfel
Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
-
C.
Evelyn Meltzer
Evelyn Meltzer is an individual notable enough to be recognized as a prominent bearer of the surname Meltzer.
-
D.
Lilla Zuckerman
Lilla Zuckerman is a television writer and producer known for her work on series such as Poker Face and other genre and drama shows.
-
E.
Ilene Rosenzweig
Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586cd8f08190b34c8886e8617255 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.