Triple
T15019569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Blake |
E378047
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Joanne Greenberg |
E1134581
|
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: Joanne Greenberg | Statement: [Deborah Blake, creator, Joanne Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joanne Greenberg Context triple: [Deborah Blake, creator, Joanne Greenberg]
-
A.
Joanne Greenberg
chosen
Joanne Greenberg is an American author best known for her semi-autobiographical novel "I Never Promised You a Rose Garden," which explores mental illness and recovery.
-
B.
Miriam Mendelsohn
Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
-
C.
Rivka Warhaftig
Rivka Warhaftig was the wife of Israeli politician and religious Zionist leader Zerach Warhaftig.
-
D.
Helene Shapiro
Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
-
E.
Ruth Elias
Ruth Elias was a Czech Jewish Holocaust survivor and memoirist whose harrowing experiences in Nazi concentration camps became an important testimony to the atrocities of the Holocaust.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded76445988190984b57de66e00c4a |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87725348190a0da7555b62adbdc |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 2:56 a.m.