Triple
T19714977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Healer's War |
E473451
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Elizabeth Ann Scarborough |
—
|
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 Ann Scarborough | Statement: [The Healer's War, author, Elizabeth Ann Scarborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Ann Scarborough Context triple: [The Healer's War, author, Elizabeth Ann Scarborough]
-
A.
Elizabeth Ann Scarborough
chosen
Elizabeth Ann Scarborough is an American science fiction and fantasy author best known for her Nebula Award–winning novel "The Healer's War" and her collaborative series with Anne McCaffrey.
-
B.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
C.
April Sexton
April Sexton is a dedicated emergency department nurse and central character in the medical drama series "Chicago Med."
-
D.
Shelley Barnes
Shelley Barnes is the full given name of the Arthur character commonly known as Binky Barnes, a tough but good-hearted bulldog who is one of Arthur Read’s classmates.
-
E.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440cb47c81908124dfbd6f781d23 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.